In the age of surveillance capitalism, the prevailing business model underlying the use of social media applications (“apps”) foresees the exchange of personal data for the allowance to use an online service. Such a data business model comes with many potential negative side effects ranging from violation of privacy issues to election manipulation. Therefore, it is of utmost importance to think of alternatives to the current data business model. The present study (...) investigated how strong the support would be for a monetary payment model among a sample of 210 participants. Participants were asked about their willingness to pay for social media, if in turn their data would be private and other problems concerning social media use would be tackled. Only one-fifth of participants (21.43%) supported such a model. From the Big Five Personality traits, Agreeableness was positively associated with support of such a model. Finally, data are also provided on how much participants would be willing to pay for social media on a monthly basis. The present study’s findings are of a preliminary nature and will contribute to the start of an important discussion. (shrink)

Global supply chains often distribute value inequitably among the Global North and South. This perpetuates poverty and contributes to indecent work in raw material-producing countries, thus creating challenges to sustainable development. For decades, corporate social responsibility, social entrepreneurship, and sustainable business model innovations have aimed to distribute value more equitably across global value chains, for instance via fair trade, alternative trade, and direct trade. This article examines a novel and hitherto understudied innovation for equitable value distribution in global (...) supply chains: “value chain profit sharing.” We draw on interview and archival data from two cases of social entrepreneurs working in the coffee sector to develop a generalized model. One of the model's key features is that the entrepreneur pays suppliers in multiple installments that reflect market conditions (as opposed to a single lump sum based on prediction). We show how this can increase value creation, appropriation, and equitable distribution. Although our research suggests that this model may be highly contingent on leaders' skills, resources, sense of place, and accountability to suppliers, we find no evidence that its applications are limited to specific countries or sectors. Our research further extends extant theory by showing how “value chain profit sharing” may relieve some of the tensions often associated with sustainable business models, including distributing value to suppliers while maintaining financial solvency; creating value while pursuing a social mission; providing benefits to suppliers without curtailing their market opportunities; responding to market conditions while maintaining commitments to suppliers; and scaling without diluting benefits. It thereby contributes to the literatures on sustainable business model innovations, equitable value distribution in global supply chains, novel application of revenue-sharing contracts, and innovative methods of profit sharing. It furthermore provides actionable guidance for social entrepreneurs, corporate social responsibility practitioners, and supplier cooperatives aiming to achieve more equitable value distribution and sustainable supply chains. (shrink)

As organizations are benefiting from investments in big data analytics capabilities building and education, our study has analyzed the impact of big data analytics capabilities building and education on business model innovation. It has also assessed technological orientation and employee creativity as mediating and moderating variables. Questionnaire data from 499 managers at enterprises in Jiangsu, China have been analyzed using Structural Equation Modeling in SmartPLS. Big data analytics capabilities building and education strengthen technological orientation (...) and increase business model innovation. Technology orientation increases business model innovation and plays a mediating role. Employee creativity also boosts innovation. These findings show that business managers should adopt and promote a technological orientation. They should hire and train employees with big data education and training. Organizations can try to select and support employees who show creativity. (shrink)

This open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethically. The question is: how to do this? Data ethics management, and this book, provide some answers. -/- The (...) authors interviewed and surveyed data ethics managers at leading companies. They asked why these experts see data ethics as important and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way. -/- Much of the existing writing on data and AI ethics focuses either on macro-level ethical principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: data ethics management. This third element consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level ethical principles and to guide and hold accountable their developers. Data ethics management is the connective tissue makes ethical principles real. It is the focus of this book. -/- This book should be of use to organizations that wish to improve their own data ethics management efforts, legislators and policymakers who hope to build on existing management practices, scholars who study beyond compliance business behavior, and members of the public who want to understand better the threats that AI poses and how to reduce them. (shrink)

Individual and collective ethical stances regarding ethical consumption and related outcomes are usually seen as both a form of concern about extant market offerings and as opportunities to develop new offerings. In this sense, demand and supply are traditionally portrayed as interacting dialectically on the basis of extant business models. In general, this perspective implicitly assumes the juxtaposition of demand side ethical stances and supply side corporate initiatives. The Eataly story describes, however, a different approach to market transformation; in (...) this case a company and a social movement (Slow Food) have negotiated and collaborated prior to initiating a new business model. This collaboration process and its outcomes are described, focusing specifically on ordinary Eataly customers’ and Slow Food members’ reactions. Given that Eataly can be regarded as a case of mainstreaming, ordinary customers seem satisfied with the new offering and the Slow Food support for the initiative; the more purist members of the Slow Food movement had critical concerns, however, as happened in similar conditions, according to literature, with regard to Fair Trade. The Slow Food endorsement of the new venture has also been observed from the attitude–behaviour gap perspective, as it contributed to addressing the factors affecting the gap between attitudes and actual behaviours. Extensive qualitative data were collected and analysed over a 3-year period. The main study implications refer to the ways in which companies and social movements could interact to co-design new business models, as well as outlining consumers’ attitudes and behaviours towards such new offerings. (shrink)

Business orientation toward sustainable development goals and the circular economy are relevant research topics today in business theory and practice. The waste recycling sector is a key industry in the circular economy framework for promoting clean production and environmental sustainability. This study analyzes business performance in the recycling sector, focusing on efficiency indicators. The associations between firm efficiency and risk variables were also evaluated. The study goes through several methodological stages, including a Data Envelopment Analysis (DEA) (...) multistage method and multivariate modeling: tobit regression, bootstrap models, and generalized method of moments (GMM). The main results indicate that the average efficiency of waste recycling firms is at a medium level. Large-sized firms achieve higher levels of efficiency than medium-sized and small firms, supporting the economies of scale hypothesis. The evidence also suggests that risk variables (rating score and Zscore) and capital structure are key determinants of firm efficiency in the waste recycling industry. (shrink)

Extant literature suggested that executive cognitive ability is a critical perspective to answering why and how enterprises perform business model innovation. However, the effect of executive cognitive ability on business model innovation is still insufficiently explored. Drawing on entrepreneurial bricolage theory, we developed a moderated mediation model which takes entrepreneurial bricolage as the mediating mechanism and environmental dynamics as the moderating mechanism to explain how executive cognitive ability influences business model innovation. We collected (...) the data of 316 executives of Chinese start-ups through questionnaires for the model test. Results showed that new venture executives' cognitive ability significantly positively affects business model innovation by mediating with entrepreneurial bricolage. Environmental dynamism positively moderates the effect of executives' cognitive ability on business model innovation. Moreover, environmental dynamism positively moderates the mediating role of entrepreneurial bricolage in executive cognitive ability and business model innovation. This study broadens the research scope of entrepreneurial bricolage theory from the perspective of cognitive ability and provides ideas for new ventures' business model innovation. (shrink)

Digital technologies, such as artificial intelligence, brain-computer interfaces technology and big data, enable many firms to innovate their business model. It is clearly an emotional process due to its complex and uncertain nature, and involves individuals’ emotion regulation, yet the current research lacks an effective conversion path from emotion to digital business model innovation. Drawing on theories and research on emotion regulation and business model innovation, we investigate how emotion regulation of entrepreneurs influence (...) digital BMI. Data from 126 new ventures show that entrepreneurs’ reappraisal positively affects digital BMI, while entrepreneurs’ suppression exerts opposite effects on digital BMI. Moreover, we find that environmental dynamism moderates this relationship. The findings explain the emotional complexity in digital technology empowerment, which has implications for the development and design of brain computer interface applications and the literature on emotions and business model innovation. (shrink)

Although most existing studies have considered entrepreneurial bricolage as a means to overcome resource constraints in new ventures, few have explored the direct effects of entrepreneurial bricolage on employee creativity, particularly in the context of entrepreneurial internet firms. Drawing from multiple theories, this study proposes a cross-level mediation model for the trickle-down effects of entrepreneurial bricolage and business model innovation on employee creativity. By using a 2-wave longitudinal design, survey data were collected from multiple sources, including (...) 49 leaders and 336 employees from entrepreneurial internet firms in China. Multilevel structural equation modeling was applied to analyze the cross-level mediation model. The results show that both entrepreneurial bricolage and business model innovation failed to significantly and positively direct employee creativity. Furthermore, entrepreneurial bricolage exerted a cross-level influence on employee creativity that was sequentially transmitted through between-level business model innovation and within-level creative self-efficacy. The theoretical and managerial implications of these findings are also discussed. (shrink)

In several studies, knowledge is witnessed as one of the foundations of long-term competitive edge and is also a basic source of new product development performance. The aim of this study is to investigate the role of knowledge management capabilities in new product development performance with the mediating role of organizational agility. Additionally, this study also intends to examine the moderating role of business model innovation on the relationship of KMC with organizational agility. This study was conducted on (...) the Chinese automobile sector, and the NPD project managers, supervisors, and engineers of the sector were respondents of this study. A survey questionnaire was used to collect the data from 201 respondents, and data were analyzed using the Smart PLS 3 software. The findings of this research, although limited to the automobile industries, indicate that knowledge sharing and knowledge application have significant and positive effects on the development of new products. Organizational agility significantly mediates the relationship of KMC with NPD. The results found that business model innovation has a significant moderating role in the relationship between KMC and organizational agility. Moreover, the results of this study will assist the managers in developing a modern competitive business environment by implicating KMC in the process of NPD. Lastly, organizations may improve the sustainability of their product and their overall performance by using organizational agility and modern ways of value delivery. (shrink)

Companies in the world today understand that keeping users in touch is essential to enhancing their trust. The primary objective of this study was to determine the intention-based critical determinants of E-commerce utilization in China from the end users’ perspective. We developed a framework that identifies the factors that influence E-commerce utilization in China. Besides, we introduced observational research conducted in a real-world E-commerce sense. Results are based on a sample of 400 respondents by employing a comprehensive questionnaire survey. The (...) structural equation modeling and the partial least squares regression approach was used to analyze the data. Study results show that perceived usefulness, perceived ease of use, reputation, trust in vendors, and purchase frequency significantly influence consumers’ intention to use E-commerce systems. Research outcomes emphasize transforming social norms, raising consumers’ awareness, redesigning policy frameworks, and highlighting the paybacks that E-commerce offers through integrative and consistent efforts. (shrink)

In their book ‘Corporate Social Opportunity’, Grayson and Hodges maintain that ‘the driver for business success is entrepreneurialism, a competitive instinct and a willingness to look for innovation from non‐traditional areas such as those increasingly found within the corporate social responsibility (CSR) agenda’. Such opportunities are described as ‘commercially viable activities which also advance environmental and social sustainability’. There are three dimensions to corporate social opportunity (CSO) – innovation in products and services, serving unserved markets and building new (...) class='Hi'>business models. While small‐ and medium‐sized enterprises (SMEs) have traditionally been presented as non‐entrepreneurial in this area, this paper demonstrates how SMEs can take advantage of the opportunities presented by CSR. Using data from 24 detailed case studies of UK SMEs from a range of sectors, the paper explores the numerous CSR opportunities that present themselves to SMEs, such as developing innovative products and services and exploiting niche markets. There are inevitable challenges for SMEs undertaking CSR, but by their very nature they have many characteristics that can aid the adoption of CSR; the paper explores these characteristics and how the utilisation of positive qualities will help SMEs make the most of CSOs. Integrating CSR into the core of a company is crucial to its success. Using the case studies to illustrate key points, the paper suggests how CSR can be built into a company's systems and become ‘just the way we do things’. There are a number of factors that characterise the CSO ‘mentality’ in an organisation, and Grayson and Hodges's book describes seven steps that will move a company in the direction of a ‘want to do’ CSO mentality. This paper adapts these steps for SMEs, and by transferring and building on knowledge from the 24 detailed case studies, it develops a ‘business opportunity’ model of CSR for SMEs. (shrink)

The article examines four models of data governance emerging in the current platform society. While major attention is currently given to the dominant model of corporate platforms collecting and economically exploiting massive amounts of personal data, other actors, such as small businesses, public bodies and civic society, take also part in data governance. The article sheds light on four models emerging from the practices of these actors: data sharing pools, data cooperatives, public data (...) trusts and personal data sovereignty. We propose a social science-informed conceptualisation of data governance. Drawing from the notion of data infrastructure we identify the models as a function of the stakeholders’ roles, their interrelationships, articulations of value, and governance principles. Addressing the politics of data, we considered the actors’ competitive struggles for governing data. This conceptualisation brings to the forefront the power relations and multifaceted economic and social interactions within data governance models emerging in an environment mainly dominated by corporate actors. These models highlight that civic society and public bodies are key actors for democratising data governance and redistributing value produced through data. Through the discussion of the models, their underpinning principles and limitations, the article wishes to inform future investigations of socio-technical imaginaries for the governance of data, particularly now that the policy debate around data governance is very active in Europe. (shrink)

Hunt and Vitell''s General Theory (1992) is used in a cross-cultural comparison of U.S. and Taiwanese business practitioners. Results indicate that Taiwanese practitioners exhibit lower perceptions of an ethical issue in a scenario based on bribery, as well as milder deontological evaluations and ethical judgments relative to their U.S. counterparts. In addition, Taiwan respondents showed higher likelihood of making the payment. Several of the paths between variables in the theory are confirmed in both U.S. and Taiwan samples, with summary (...) data suggesting the Hunt and Vitell theory performs well in both U.S. and Taiwan. Some unanticipated linkages within the model were uncovered in the samples. Results and implications are discussed. (shrink)

Business codes are a widely used management instrument. Research into the effectiveness of business codes has, however, produced conflicting results. The main reasons for the divergent findings are: varying definitions of key terms; deficiencies in the empirical data and methodologies used; and a lack of theory. In this paper, we propose an integrated research model and suggest directions for future research.

How do business leaders make ethical decisions? Given the significant and wide-spread impact of business people’s decisions on multiple constituents, how they make decisions matters. Unethical decisions harm the decision makers themselves as well as others, whereas ethical decisions have the opposite effect. Based on data from a study on strategic decision making by 16 effective chief executive officers, I propose a model for ethical decision making in business in which reasoning and intuition interact through (...) forming, recalling, and applying moral principles necessary for long-term success in business. Following the CEOs in the study, I employ a relatively new theory, rational egoism, as the substantive content of the model and argue it to be consistent with the requirements of long-term business success. Besides explaining the processes of forming and applying principles, I briefly describe rational egoism and illustrate the model with a contemporary moral dilemma of downsizing. I conclude with implications for further research and ethical decision making in business. (shrink)

Abstract:AbstractDrawing from qualitative data in a Southern African context, this article explores meanings assigned to names for female genitalia to establish whether males and females assign the same meanings to the same vocabulary used in naming or whether they associate the same vocabulary with different meanings. The study illustrates that while males associate the meanings of terms for female genitalia with well-established, stigmatized views of women, female informants associate the same terms with different meanings that provide alternative views about (...) women and, at the same time, appear to be a form of reclamation of Southern African women’s personhood, identity, and agency. Although males, through these vocabulary items, metaphorically associate female genitalia with possession, which discursively constructs women as powerless objects that can be owned and commoditized, females draw from the philosophy of Africana womanism, indicating that even in asymmetrically structured societies, some women subjectively and purposefully construct their own identities as strong, smart, socially conscious, and independent. (shrink)

Business codes are a widely used management instrument. Research into the effectiveness of business codes has, however, produced conflicting results. The main reasons for the divergent findings are: varying definitions of key terms; deficiencies in the empirical data and methodologies used; and a lack of theory. In this paper, we propose an integrated research model and suggest directions for future research.

Ethical Competence Questionnaire-Working Life and Business (ECQ-WLB) is an effort to build an instrument that measures ethical competence in business as a psychological problem-solving and decision-making skill. The questionnaire is constructed in a way that aims to avoid connection to any particular moral philosophical theory. Its theoretical base is the autonomy hypothesis of Piaget. Autonomous reasoning as measured by the questionnaire correlated positively to the level of organizational hierarchy. ECQ-WLB demonstrated satisfying psychometricproperties and reasonable reliability properties. A confirmatory (...) factor analysis showed that the measurement model is compatible with the data. (shrink)

Ethical Competence Questionnaire-Working Life and Business (ECQ-WLB) is an effort to build an instrument that measures ethical competence in business as a psychological problem-solving and decision-making skill. The questionnaire is constructed in a way that aims to avoid connection to any particular moral philosophical theory. Its theoretical base is the autonomy hypothesis of Piaget. Autonomous reasoning as measured by the questionnaire correlated positively to the level of organizational hierarchy. ECQ-WLB demonstrated satisfying psychometricproperties and reasonable reliability properties. A confirmatory (...) factor analysis showed that the measurement model is compatible with the data. (shrink)

In today’s competitive business market, firms that collaborate on a coopetition basis face obstacles in the form of decision-making, dependency, and trust in their competitor partners. This current study is the only one that has examined the relationship between coopetition and firm performance; yet, this relationship appears to be unclear due to the impact of trust and dependency on coopetition. This study investigates the impact of coopetition on firm performance by examining the mediating effects of decision-making and open innovation (...) on firm performance. There are 230 sets of data that were collected from the employees of Chinese small- and medium-sized enterprises through the survey method, and the data were analyzed using Partial Least Square-Structural Equation Modeling. The findings of this study indicated that open innovation has a significant mediation effect between coopetition and firm performance, and that decision-making is also an important mediating effect in bridging the relationship between coopetition and firm performance. By considering these mediators, the findings revealed that the coopetition has a significant impact on firm performance through decision-making and has a significant effect on firm performance through increasing open innovation. The findings also revealed that decision-making played a significant role in mediating the relationship between coopetition and firm performance, which in turn specified a statistically significant positive rel... (shrink)

This article provides a history of private sector tracking technologies, examining how the advent of commercial surveillance centered around a logic of data capitalism. Data capitalism is a system in which the commoditization of our data enables an asymmetric redistribution of power that is weighted toward the actors who have access and the capability to make sense of information. It is enacted through capitalism and justified by the association of networked technologies with the political and social benefits (...) of online community, drawing upon narratives that foreground the social and political benefits of networked technologies. I examine its origins in the wake of the dotcom bubble, when technology makers sought to develop a new business model to support online commerce. By leveraging user data for advertising purposes, they contributed to an information environment in which every action leaves behind traces collected by companies for commercial purposes. Through analysis of primary source materials produced by technology makers, journalists, and business analysts, I examine the emergence of data capitalism between the mid-1990s and mid-2000s and its central role in the contemporary information economy. (shrink)

Smartphones with Global Positioning System (GPS) apps offer simple and accurate tools to collect data on human mobility. However, their associated ethical challenges remain to be assessed. We used the Emanuel framework to assess the ethical concerns of using smartphone GPS to record mobility patterns of young adults in rural South Africa for a larger study on mobility and HIV risk (Sesikhona). We conducted four focus groups (FGDs) with individuals eligible for the Sesikhona study. FGD data were coded (...) using the Emanuel framework. Participants perceived use of smartphone GPS to study human mobility and HIV risk as valuable. They raised concerns about invasion of privacy and confidentiality. Also mentioned were risk/benefit ratio, informed consent and ongoing respect. Concerns expressed provided a useful evidence-base for the development of a guide to inform future participants about ethical issues arising in the use of GPS technology to track mobility and health-related issues. (shrink)

The collection and circulation of data is now a central element of increasingly more sectors of contemporary capitalism. This article analyses data as a form of capital that is distinct from, but has its roots in, economic capital. Data collection is driven by the perpetual cycle of capital accumulation, which in turn drives capital to construct and rely upon a universe in which everything is made of data. The imperative to capture all data, from all (...) sources, by any means possible influences many key decisions about business models, political governance, and technological development. This article argues that many common practices of data accumulation should actually be understood in terms of data extraction, wherein data is taken with little regard for consent and compensation. By understanding data as a form capital, we can better analyse the meaning, practices, and implications of datafication as a political economic regime. (shrink)

Coherence and correspondence are classical contenders as theories of truth. In this paper we examine them instead as interacting factors in the dynamics of belief across epistemic networks. We construct an agent-based model of network contact in which agents are characterized not in terms of single beliefs but in terms of internal belief suites. Individuals update elements of their belief suites on input from other agents in order both to maximize internal belief coherence and to incorporate ‘trickled in’ elements (...) of truth as correspondence. Results, though often intuitive, prove more complex than in simpler models (Hegselmann & Krause 2002, 2006; Grim, Singer, Reade & Fisher 2015). The optimistic finding is that pressures toward internal coherence can exploit and expand on small elements of truth as correspondence is introduced into epistemic networks. Less optimistic results show that pressures for coherence can also work directly against the incorporation of truth, particularly when coherence is established first and new data is introduced later. (shrink)

Modern science is, to a large extent, a model-building activity. But how are models contructed? How are they related to theories and data? How do they explain complex scientific phenomena, and which role do computer simulations play here? These questions have kept philosophers of science busy for many years, and much work has been done to identify modeling as the central activity of theoretical science. At the same time, these questions have been addressed by methodologically-minded scientists, albeit from (...) a different point of view. While philosophers typically have an eye on general aspects of scientific modeling, scientists typically take their own science as the starting point and are often more concerned with specific methodological problems. There is, however, also much common ground in middle, where philosophers and scientists can engage in a productive dialogue, as the present volume demonstrates. To do so, the editors of this volume have invited eight leading scientists from cosmology, climate science, social science, chemical engeneering and neuroscience to reflect upon their modeling work, and eight philosophers of science to provide a commentary. (shrink)

A significant theory of corporate social responsibility is the Stakeholder Model. Within this model, entities make decisions that impact all stakeholders. Occasionally, the decision that is made ultimately impacts one stakeholder differently than another. Negative data by its very definition is seen as problematic for any organization as it pertains to its stakeholders. When confronted with the data or the potential of the data being negative to desired outcomes or directions of programs, an organization’s leadership (...) may be faced with an ethical conundrum. Should the data be included and shown to all stakeholders? Or should the data be buried and avoided even to the point of engaging in questionable conduct in the management of paperwork and record keeping? (shrink)

The ability to collect fine-grained energy data from smart meters has benefits for utilities and consumers. However, a proactive approach to data privacy is necessary to maximize the potential of these data to support low-carbon energy systems, and innovative business models.

This article addresses a theoretical gap in the literature by highlighting the significance of nonbargaining nonmarket strategies of firms. Relying on neo-statist political theory, we propose a theoretical model that hypothesizes a reliance on nonbargaining nonmarket strategies in situations marked by historically and situationally conditioned weakness of societal forces relevant to a firm (including the firm itself) as well as when relevant state institutions display high degrees of professional, structural, and ideological bureaucratic insularity. We survey 165 managers (each representing (...) a separate firm) from 14 countries in Eastern Europe and Central Asia about the strategic importance of the nonmarket strategic initiatives. Our novel survey instrument captures a broader range of nonmarket strategic initiatives than previous empirical research has examined. The survey results provide preliminary support for our model, although the findings suggest the need for more research in different regional contexts. (shrink)

Data-driven technologies have come to pervade almost every aspect of business life, extending to employee monitoring and algorithmic management. How can employee privacy be protected in the age of datafication? This article surveys the potential and shortcomings of a number of legal and technical solutions to show the advantages of human rights-based approaches in addressing corporate responsibility to respect privacy and strengthen human agency. Based on this notion, we develop a process-oriented model of Privacy Due Diligence to (...) complement existing frameworks for safeguarding employee privacy in an era of Big Data surveillance. (shrink)

The pioneering work on environmental regulation in Sweden and that country's leading position in sustainability rankings has paradoxically passed almost unnoticed by academics. To this fact should be added, the scant attention given to the Nordic banking system. Becoming immersed into the realm of Swedish commercial banking ethics, we have focused on one of the top three commercial banks in the country, to map its corporate sustainability policies (CSP) and the compliance of the lending business process (LBP) to these (...) policies. A descriptive-explanatory research framework utilises a critical case with a phronetic design. Data collected through interviews was manipulated under the thematic analysis method. We found a unique understanding of act-utilitarianism, in which, policies and practices are set to prevent financial risks and environment rebounds, as they are symbiotic. This allowed us to enlarge the body of knowledge on Nordic banking's sustainable governance and design the green lending model (GLM). (shrink)

With the emergence of service provisioning environments and new networking capabilities, antagonistic businesses have been able to collaborate securely by sharing information in order to have a beneficial result for all. This collaboration has sometimes been imposed by state legislation and sometimes been desirable by the firms themselves so as to resolve frequently occurring abnormalities. In any case, as information exchange takes place between antagonistic firms, security and privacy issues arise. In the context of this paper, a collaborative environment has (...) been analyzed for enterprises that set out in the banking sector. A Grid-based Anti-Money Laundering (AML) system has been developed in an effort to take advantage of the Grid infrastructure, supporting the secure and trustful exchange of information between financial institutions and ensuring the confidentiality of the data transferred and the authentication of the users to whom they are available. Special emphasis is put on security mechanisms for supporting identity and privacy management as well as in Service Level Agreements (SLA) enforcement for enabling a trust enforcement platform in a collaboration business model. (shrink)

This article critically questions the commercialization of hospice care and the ethical concerns associated with the industry's movement toward “market-driven medicine” at the end of life. For example, the article examines issues raised by an influx of for-profit hospice providers whose business model appears at its core to have an ethical conflict of interest between shareholders doing well and terminal patients dying well. Yet, empirical data analyzing the experience of patients across the hospice industry are limited, and (...) general claims that end-of-life patient care is inferior among for-profit providers or even that their business practices are somehow unseemly when compared to nonprofit providers cannot be substantiated. In fact, non-profit providers are not immune to potentially conflicting concerns regarding financial viability (i.e., “no margin, no mission”). Given the limitations of existing empirical data and contrasting ideological commitments of for-profit versus non-profit providers, the questions raised by this article highlight important areas for reflection and further study. Policymakers and regulators are cautioned to keep ethical concerns in the fore as an increasingly commercialized hospice industry continues to emerge as a dominant component of the U.S. health care system. Both practitioners and researchers are encouraged to expand their efforts to better understand how business practices and commercial interests may compromise the death process of the patient and patient's family — a process premised upon a philosophy and ethical tradition that earlier generations of hospice providers and proponents established as a trusted, end-of-life alternative. (shrink)

In the past decade, Ethiopia has demonstrated a strong ideological convention to the East-Asian model of ‘developmental state’, which stands for state-led industrialisation as its underlying industrial policy premise. Nevertheless, the labour rights externalities of this industrial policymaking have been overlooked in the existing academic and practical policy debates. Hence, using qualitative empirical data, the article attempts to address the research gap by analysing why and how Ethiopia’s state-led industrialisation and the corporate behaviours of apparel-exporting firms, as well (...) as their respective global brand buyers, have contributed to the existing poverty wages and repressive practices against the associational rights of local industrial workers at those selected apparel-exporting industrial parks of the country. The maxim of industrialisation with a human face has increasingly become a promising alternative to the neoclassical intellectual view of labour relations following its fundamentals towards achieving a more sustainable industrial development in a given state. In light of this human right imperative, the finding revealed Ethiopia’s stateled industrialisation has firmly embraced strong business-state alliances, thereby curbing the power of local industrial workers. The Ethiopian government employs diverse de facto or de jure labour control mechanisms across those selected apparel-exporting industrial parks of the country. This is manifested through poverty wages and repressive measures todeny the associational rights of workers. Further, the flawed Corporate Social Responsibility (CSR) of employing firms and their respective global brands have contributed to the ongoing labour abuses across those selected apparel-exporting firms. Hence, Ethiopia’s industrial policy is expected to navigate a reasonable balance between facilitating industrial catch-up and ensuring labour standards for more viable and sustainable labour relations. (shrink)

Social practices of quantification, or the production and communication of numbers, have been recognized as important foundations of organizational knowledge, as well as sources of power. With the advent of increasingly sophisticated digital tools to capture and extract numerical data from social life, however, there is a pressing need to understand the ethical stakes of quantification. The current study examines quantification from an ethical lens, to frame and promote a research agenda around the ethics of quantification. After a brief (...) overview of quantification research and its uses in state and market organization, I discuss quantification in terms of three core subprocesses—capture, specification, and appropriation, illustrating and identifying ethical concerns around each process. Linking these processes to the performative effects of measures, I present a working model of quantification from which the discussion builds ideas for developing a research agenda around quantification. (shrink)

In this paper I present experimental data showing that the interpretation of donkey sentences is influenced by certain aspects of world knowledge that seem to elude introspective observation, which I try to explain by reference to a scale ranging from prototypical individuals (like children) to quite marginal ones (such as railway lines). This ontological cline interacts with the semantics of donkey sentences: as suggested already by the anecdotal data on which much of the literature is based, the effect (...) of world knowledge is by and large restricted to donkey sentences with non-intersective determiners. I outline a psychological model which incorporates both ontological and logical factors, and suggest that there may be something wrong with the standard assumption that a statement's receiving a truth value requires that it have a definite reading. (shrink)

In today's world, businesses are involved in several different initiatives to gain sustainable performance, which can discourse the expectations and demands of society. Emerging economics faces numerous challenges in terms of social, relational, governance, and financial, which made it necessary for firms to perform responsibly in order to make positive contributions toward sustainability. Therefore, this study based on upper-echelon theory constructs a comprehensive framework on responsible leadership, corporate social responsibility, and managerial discretion to provide the guideline for business sustainability. (...) To fulfill the study purpose, an empirical analysis was performed on 382 Pakistani respondents' data by using PLS-SEM through SmartPLS. Outcomes of the study indicated that responsible leadership entails enormous importance in corporations to influence their impact on society, environment, and economy, which leads to business sustainability. Moreover, the study provides insights into that more responsible and experienced leaders are better able to identify the concerns of their firm's stakeholders in the manners of relational, governing, and orientational perspectives, which help them in satisfying the stakeholders' and society's demands. Hence, responsible leadership enables the firm to better strive for sustainability by applying better CSR activities and directing the decisions by maintaining the compliance of the managers. Furthermore, the current study concluded that the managers and leaders of firms need to develop their business models in such a way that it supports the triple bottom line performance of the firm so that they can achieve sustainability. This study would help managers of firms to realize that they should reexamine their leadership practices and behaviors with the consideration of the triple bottom line framework and integrate the sustainable approach and CSR practice into their business strategy so that they can accomplish the goal of sustainability for business and fulfill the social demands and expectations. (shrink)

With over three billion people currently living below the poverty line, finding better ways to lift people out of poverty is a concern of scholars from a range of disciplines. Within Management Studies, the focus is on developing market-based solutions to poverty alleviation through Bottom/Base-of-the-Pyramid initiatives. To date, these have enjoyed limited success, sometimes even exacerbating the problems they attempt to solve. As a result, there is a growing academic and practitioner push for a third iteration—BoP 3.0—that moves closer to (...) a sustainable development model of poverty alleviation. Through a grounded theory study of 21 Philippines-based organizations implementing poverty alleviation initiatives at the community level, this paper seeks to add to the existing suite of tools and guidance in the BoP field. It does so by questioning how these organizations approach the development and implementation of market-based approaches to poverty alleviation. Our results suggest that these organizations adopt a more community-centric approach, focusing on the creation of a self-reliant community before all else. We find this to be the result of a deeper understanding of the drivers of poverty in the communities they work with. Through the extrapolation of key themes and issues in our data, we propose a new conceptual model for building BoP 3.0 initiatives. This model consists of three intertwined theoretical dimensions: understanding issues as matters of concern; identifying limitations; and navigating time. These elements are linked by three active phases that allowed the organizations to move from one dimension to the next: sensemaking; entrainment; and investment. (shrink)

With over three billion people currently living below the poverty line, finding better ways to lift people out of poverty is a concern of scholars from a range of disciplines. Within Management Studies, the focus is on developing market-based solutions to poverty alleviation through Bottom/Base-of-the-Pyramid initiatives. To date, these have enjoyed limited success, sometimes even exacerbating the problems they attempt to solve. As a result, there is a growing academic and practitioner push for a third iteration—BoP 3.0—that moves closer to (...) a sustainable development model of poverty alleviation. Through a grounded theory study of 21 Philippines-based organizations implementing poverty alleviation initiatives at the community level, this paper seeks to add to the existing suite of tools and guidance in the BoP field. It does so by questioning how these organizations approach the development and implementation of market-based approaches to poverty alleviation. Our results suggest that these organizations adopt a more community-centric approach, focusing on the creation of a self-reliant community before all else. We find this to be the result of a deeper understanding of the drivers of poverty in the communities they work with. Through the extrapolation of key themes and issues in our data, we propose a new conceptual model for building BoP 3.0 initiatives. This model consists of three intertwined theoretical dimensions: understanding issues as matters of concern; identifying limitations; and navigating time. These elements are linked by three active phases that allowed the organizations to move from one dimension to the next: sensemaking; entrainment; and investment. (shrink)

We bring together recent discussions on data capitalism and biocapitalization by studying value flows in consumer genomics firms—an industry at the intersection between health care and technology realms. Consumer genomics companies market genomic testing services to consumers as a source of fun, altruism, belonging and knowledge. But by maintaining a multisided or platform business model, these firms also engage in digital capitalism, creating financial profit from data brokerage. This is a precarious balance to strike: If these (...) companies’ business models consist of assetizing the pool of genomic data that they assemble, then part of their work has to revolve around obscuring to consumers any uncertainties that would potentially impinge on these processes of assemblage. We reflect on the nature of these practices and the market relationships that enable them, and we relate this reflection to debates around alternative market arrangements that would potentially mitigate the extractive tendencies of these and other digital health firms. (shrink)

Before being considered as independent fields, business cycles and productivity growth had long been regarded as closely interrelated dynamics. Growth and cycles theories and models developed independently. On one side, the growth analysis developed analyzing the existence and stability of a long-run deterministic growth path. On the other side, business cycles theory focused on the understanding of detrended data movements considering growth as an exogenous trend, independent of the cycle. This dichotomy is still present in the modern (...) literature. _Business Cycles and Growth Theory_ examines the role of monetary and financial factors in growth cycles dynamics interaction. It offers new perspectives for modelling growth cycles dynamics underlining the possibility of building an 'incomplete business cycles theory', as well as highlighting the existence of a convergence between the last theoretical developments of both growth and business cycles literatures. A significant read, this book demonstrates that such a convergence can provide benchmarks for a new paradigm of models in which endogenous growth mechanism, because it offers a strong propagation for shocks, can be the core of a new business cycles dynamics. (shrink)

In order to better assist investors in the evaluation and decision-making of financial data, this paper puts forward the need to build a reliable and effective financial data prediction model and, on the basis of financial data analysis, integrates deep learning algorithm to analyze financial data and completes the financial data analysis system based on deep learning. This paper introduces the implementation details of the key modules of the platform in detail. The user interaction (...) module obtains and displays the retrieval results through data parsing, calling the background, and computing engine. The data cleaning module fills, optimizes, and normalizes the data through business experience; the calculation engine module uses the algorithm and extracts the database information to get the similar time series and matching financial model. Finally, the data acquisition module fills the database with historical data at the initialization stage and updates the database every day. The data analysis platform for quantitative trading designed and implemented in this paper has carried out demand analysis, design, implementation, and test. From the perspective of function test and performance test, two functions of similar stock search and financial matching model are selected and tested, and the results are in line with the expected results. (shrink)

The deontic model of justice and ethical behavior proposes that people care about justice simply for the sake of justice. This is an important consideration for business ethics because it implies that justice and ethical behavior are naturally occurring phenomena independent of system controls or individual self-interest. To date, research on the deontic model and third-party reactions to injustice has focused primarily on individuals’ tendency topunishtransgressors. This research has revealed that witnesses to injustice will consider sacrificing their (...) own resources if it is the only way to sanction an observed transgressor. In this paper we seek to extend this model by arguing that punishment may not be the only “deontic” reaction, and that in fact, third-party observers of injustice may engage in moral self-regulation that would lead them to conclude that the most ethical response is to do nothing. We provide preliminary evidence for our propositions using voiced cognitions data collected during a resource allocation task. Results indicate that deonance may be more complex than originally thought, and previous tests of the model conservative in nature. (shrink)

With the deepening of globalization, brand plays an important role in determining the competitiveness of enterprises. It is worth thinking about how to quantify the brand value reasonably to achieve the purpose of improving the competitiveness of enterprises. The research of commercial brands based on emotion analysis extracts the views of consumers on the evaluation data of brand attributes, analyzes the emotional tendency of consumers' views, and then helps enterprises adjust their production strategies. The purpose of emotion analysis is (...) to judge users' views and attitudes toward goods or services by analyzing texts. In this paper, the linear support vector machine model is used to extract and study the features in sentiment analysis. Then, the brand based on the fusion model is evaluated, and the experimental conclusions are drawn: the method of fusing the depth features extracted by word vector and the named entity extracted by CRF makes the brand effect of fusing emotional factors better than the feature extraction method only using CRF named entity recognition. It is proved that the model method proposed in this paper has a certain role in actual business. Feature fusion often combines shallow model methods and fuses various shallow feature screening technologies based on word segmentation results. This paper introduces fusion features and supplements feature vectors based on the results of the deep learning word vector model. Support Vector Machine maps feature vectors to some sample points in the space, finds a plane that can realize sample classification, and maximizes the distance between the two sample points closest to the plane in two types of samples, to maximize the classification performance and improve the generalization of the model. (shrink)

The deontic model of justice and ethical behavior proposes that people care about justice simply for the sake of justice. This is an important consideration for business ethics because it implies that justice and ethical behavior are naturally occurring phenomenaindependent of system controls or individual self-interest. To date, research on the deontic model and third-party reactions to injustice has focused primarily on individuals’ tendency to punish transgressors. This research has revealed that witnesses to injustice will consider sacrificing (...) their own resources if it is the only way to sanction an observed transgressor. In this paper we seek to extend this model by arguing that punishment may not be the only “deontic” reaction, and that in fact, third-party observers of injustice may engage in moral self-regulation that would lead them to conclude that the most ethical response is to do nothing. We provide preliminary evidence for our propositions using voiced cognitions data collected during a resource allocation task. Results indicate that deonance may be more complex than originally thought, and previous tests of the model conservative in nature. (shrink)

Tennis players have more physical training content, and the training items are complex. For athletes, training programs that adapt to their individual characteristics should be formulated according to their physical characteristics. The current development of big data has brought about changes in thinking, management, and business models. The combination of complex systems and big data can also make breakthroughs in the sports field. Based on this, this article proposes a tennis player training schedule intelligent formulation system based (...) on complex system big data. First of all, this article adopts the literature data method, comparative analysis method, experimental analysis method, etc., in-depth study of the concepts of big data, complex system, and the physical structure characteristics of tennis sports. This paper designs an intelligent system for making tennis players’ training schedule, which collects, transforms, and integrates tennis training data through the characteristics of big data. Then, the dynamic time regulation of tennis is performed through a complex system, and finally, the experimental system is analyzed. This article mainly analyzes the comparison of physical indicators between the experimental group and the control group before and after the experiment, the evaluation indicators of sports events, the strength training effects of tennis events, and the analysis of shoulder joint tests. There is no significant difference between the experimental group and the control group in the items before the experiment, P > 0.05, which suggests that the physical fitness of the two groups of athletes is similar; in the posttest data, the experimental group and the control group have significant differences, P < 0.05, indicating an effect from the experiment. In particular, in fan running, forward and backward strokes, and the serve, the scores of the experimental group were higher than those of the control group, indicating that the use of the formulated training system demonstrated significant results. (shrink)

This study aimed to identify the learning and business incubation processes and their impact on developing the performance of business incubators in Gaza Strip, and the study relied on the descriptive analytical approach, and the study population consisted of all employees working in business incubators in Gaza Strip in addition to experts and consultants in incubators where their total number reached (62) individuals, and the researchers used the questionnaire as a main tool to collect data through (...) the comprehensive survey method, where (55) questionnaires were retrieved with a recovery rate of (88.7%). The results of the study showed that there is a high approval of the variables of the study, where the dimension of incubation operations came with a relative weight (84.89%), followed by the learning dimension which got a relative weight (82.50%), while the performance level of the incubators got a relative weight (80.12%) and as the study results showed There is a positive relationship statistically between the two dimensions of learning and business incubation processes and performance development in business incubators, and the linear regression analysis model showed that the main effect in improving the performance of business incubators is "after business incubation operations" while it showed weak effect after learning. The study came out with several recommendations, the most important of which is that business incubators seek to reinforce the learning process and incubation processes for business, and the need to periodically evaluate their performance, and that a more effective mechanism be designed to follow up with companies after the end of the incubation period and monitor the progress of these companies. (shrink)

This study focuses on the cultural context of ethical decision making by considering the relationship between power distance and ethical judgment. Specifically, we propose that this relationship exists because of the influence of peers on ethical judgment and perceptions of justice. Considering the importance of peers in stage three of Kohlberg's model of moral development, we argue that peers are the basis for social comparisons, social cues and social identification and, hence, are critical to an individual's beliefs about justice. (...) Using scenarios developed by Reidenbach and Robin, data were collected from German and Italian graduate business students. Germany and Italy differ substantially in power distance, but not in the three other cultural dimensions of Hofstede. Results show that the ethical assessment of the respondents from the two countries differs when justice criteria are used. Theoretical and practical implications of the results are discussed. (shrink)

The nature and extent of Africa’s leadership challenge has been explored from multi-theoretical perspectives finding that amongst other issues, it is ethical in nature. This study therefore aimed to investigate and present a model of virtuous leadership within an indigenous African firm’s context drawing from the African virtue ethics of Afro-communitarianism. Using a qualitative case study design, it explored a model of virtuous leadership within a leading Nigerian pharmaceutical brand. Data was collected from multiple primary sources including (...) semi-structured interviews and informal conversations as well as secondary sources. This study found a virtuous leadership model underpinned by four African primary virtues—Truthfulness, Courage, Humility and Humanity within a context of communitarianism. It also found that the nature and practice of these four virtues by the leaders within the context positively shaped employees’ moral characters through visible modelling but not without its flaws. It concluded that virtuous leadership models are essential within the African leadership context to rise above existing status quo to build communities of practices that are not business as usual but seeking the ultimate end of facilitating the flourishing of immediate and wider communities alike. (shrink)

This study focuses on the cultural context of ethical decision making by considering the relationship between power distance and ethical judgment. Specifically, we propose that this relationship exists because of the influence of peers on ethical judgment and perceptions of justice. Considering the importance of peers in stage three of Kohlberg's model of moral development, we argue that peers are the basis for social comparisons, social cues and social identification and, hence, are critical to an individual's beliefs about justice. (...) Using scenarios developed by Reidenbach and Robin, data were collected from German and Italian graduate business students. Germany and Italy differ substantially in power distance, but not in the three other cultural dimensions of Hofstede. Results show that the ethical assessment of the respondents from the two countries differs when justice criteria are used. Theoretical and practical implications of the results are discussed. (shrink)