In the wake of colonial fragmentation and genocide, Indigenous ‘Khoisan resurgence’ movements in South Africa have mobilised subversive forms of authenticity, including heteroglossic and inventive translanguaging from fragments of Khoekhoegowab. In our analysis of video ethnographic texts produced in collaboration with the Gamtkwa Khoisan Council (GKC) in Hankey, the birthplace of Sarah Baartman, we explore how memory, language politics, and environmental activism are interwoven in acts of linguistic citizenship that constitute the ‘rememorying’ of a history that has remained persistently obscured. (...) We argue that rememorying advances a politics of reminding which counters the Rainbow Nation’s institutionalised politics of forgetting, as well as anthropological accounts that consider Indigenous activist invocations of history as merely ‘therapeutic’. Through an engagement with the memory activism of the GKC, we identify how reconstructing word-histories, reliving historical traumas, retelling histories of sites of memory, seeing oneself mirrored in one’s ancestors, and the nexus of land, memory, and time form the basis for shared meaning-making, bringing impetus, focus, and intergenerational continuity to struggles for environmental and land justice. (shrink)

The increasing interest in online shopping in recent years has increased the importance of understanding customer engagement valence in a virtual service network. There is yet a comprehensive explanation of the CEV concept, particularly its impact on multi-actor networks such as web stores. Therefore, this study aims to fill this research gap. In this study, past literature in the marketing and consumer psychology field was critically reviewed to understand the concept of CEV in online shopping, and the propositional-based style was (...) employed to conceptualize the CEV within the online shopping context. The outcomes demonstrate that the valence of customer engagement is dependent on the cognitive interpretation of signals that are prompted by multiple actors on a web store service network. If the signals are positively interpreted, positive outcomes such as service co-creation are expected, but if they are negatively interpreted, negative outcomes such as service co-destruction are predicted. These notions create avenues for future empirical research and practical implications. (shrink)

Artificial intelligence and machine learning have the potential to revolutionize the delivery of health care. But designing machine learning‐based decision support systems is not a merely technical challenge. It also requires attention to bioethical principles. As AI and machine learning advance, bioethical frameworks need to be tailored to address the problems that these evolving systems might pose, and the development of these automated systems also needs to be tailored to incorporate bioethical principles.

While previous studies have examined the impact of informal institutions to determine entrepreneurial activities, this paper explores the different configurational paths of informal institutions to promote men’s and women’s entrepreneurial activities across factor-driven and efficiency-driven economies. We collected data from the Global Entrepreneurship Monitor for 56 countries for the years 2008-2013 and employed fuzzy-set qualitative comparative analysis to conduct the empirical analysis. The results confirm that a single antecedent condition is unable to produce an outcome while combination of different conditions (...) can produce an outcome. We find that cultural-cognitive institutional antecedents in combination with social-normative antecedents create configurations of conditions that lead to the higher levels of men’s and women’s entrepreneurial activities in factor-driven and efficiency-driven economies. Moreover, this study shows that these causal conditions configure differently to promote men’s and women’s entrepreneurial activities in factor-driven and efficiency-driven nations. This paper may create awareness in potential entrepreneurs regarding specific sets of institutional antecedents that can increase the emergence of entrepreneurship in different economic clusters. We show that institutional antecedents which are essential to promote entrepreneurship combine distinctly for men’s and women’s entrepreneurship and this combination varies in different stages of economic development. (shrink)

The robustness of a health system can often be assessed by its response to unpredictable circumstances that demand resourcefulness and resilience. The ongoing COVID-19 pandemic has similarly challe...

Darwin’s explanation for the natural phenomenon of evolution has been well established in the scientific community. That is a generally accepted historical fact, even if the situation has been very nuanced all along. If an alternative theory is to get established at all, it would have to take almost the same route that Darwin’s theory took. While the hair-splitting philosophical exegesis keeps moving the intellectual scholarship forward, some individuals from the “indefinite community” would have to decide to “charitably” put their (...) “faith” in an interpretation of the theory, put this abductive interpretation to a set of empirical tests, and “hope” that this also solves their pressing problems. Effectively, this.. (shrink)

Purpose Along with the various beneficial uses of artificial intelligence, there are various unsavory concomitants including the inscrutability of AI tools, the fragility of AI models under adversarial settings, the vulnerability of AI models to bias throughout their pipeline, the high planetary cost of running large AI models and the emergence of exploitative surveillance capitalism-based economic logic built on AI technology. This study aims to document these harms of AI technology and study how these technologies and their developers and users (...) can be made more accountable. Design/methodology/approach Due to the nature of the problem, a holistic, multi-pronged approach is required to understand and counter these potential harms. This paper identifies the rationale for urgently focusing on human-centered AI and provide an outlook of promising directions including technical proposals. Findings AI has the potential to benefit the entire society, but there remains an increased risk for vulnerable segments of society. This paper provides a general survey of the various approaches proposed in the literature to make AI technology more accountable. This paper reports that the development of ethical accountable AI design requires the confluence and collaboration of many fields and that lack of diversity is a problem plaguing the state of the art in AI. Originality/value This paper provides a timely synthesis of the various technosocial proposals in the literature spanning technical areas such as interpretable and explainable AI; algorithmic auditability; as well as policy-making challenges and efforts that can operationalize ethical AI and help in making AI accountable. This paper also identifies and shares promising future directions of research. (shrink)

Business Ethics, the Environment & Responsibility, Volume 31, Issue 2, Page 419-437, April 2022.

“I think we should be very careful about artificial intelligence. If I had to guess at what our biggest existential threat is, it’s probably that.” Elon Musk AeroAstro Centennial Symposium Massachu...

It is a common misconception that individuals act rationally and according to their interests—numerous examinations of human psychology have proven that this is not the case (Tversky and Kahneman 1...

Purpose Fully autonomous self-driving cars not only hold the potential for significant economic and environmental advantages but also introduce complex ethical dilemmas. One of the highly debated issues, known as the “trolley problems,” revolves around determining the appropriate actions for a self-driving car when faced with an unavoidable crash. Currently, the discourse on autonomous vehicle (AV) crash algorithms is primarily shaped by Western ethical traditions, resulting in a Eurocentric bias due to the dominant economic and political influence of the West. (...) However, considering that AV technology will be deployed across diverse cultural and religious contexts, this paper aims to contribute to the discourse by providing an Islamic perspective on programming the response of AVs in the event of an imminent crash. Design/methodology/approach This study proposes a novel methodology based on the Islamic concept of maṣlaḥa for the normative assessment of ethical decisions related to AV programming. Findings Drawing upon the works of classic Islamic jurists, this study highlights two distinct normative visions within Islamic traditions (akin to deontology and consequentialism) concerning the preservation of human lives in the context of AVs. This study explores the shared and divergent elements between Islamic and Western ethical approaches proposed for AVs. Originality/value This pioneering work examines AV crash algorithms from an Islamic perspective, filling a void in the global ethical discourse. This work will also serve an important role to bridge the gap between the theoretical Islamic ethical principles and their practical application in the realm of AVs. (shrink)

The article extends the critique of structuration theory from a critical realist perspective, in particular by demonstrating how its theoretical shortcomings are manifest in management accounting research. Examining of one of the most cited structuration-based accounting studies and other more recent structuration-based accounting studies, the article highlights what accounting researchers who have embraced a structuration lens may have ignored. It also demonstrates why accounting researchers could not get a better theoretical purchase out of structuration. We find that a critical realist (...) account provides a far more in-depth account of budgeting changes and is likely to avoid the problems encountered in using a structuration theoretical lens. The article has important implications for accounting researchers as it demonstrates that analytical dualism instead of duality has much better potential to offer deeper understanding of accounting changes. (shrink)

The most predominant kind of disease that is normal among ladies is breast cancer. It is one of the significant reasons among ladies, regardless of huge endeavors to stay away from it through screening developers. An automatic detection system for disease helps doctors to identify and provide accurate results, thereby minimizing the death rate. Computer-aided diagnosis has minimum intervention of humans and produces more accurate results than humans. It will be a difficult and long task that depends on the expertise (...) of pathologists. Deep learning methods proved to give better outcomes when correlated with ML and extricate the best highlights of the images. The main objective of this paper is to propose a deep learning technique in combination with a convolution neural network and long short-term memory with a random forest algorithm to diagnose breast cancer. Here, CNN is used for feature extraction, and LSTM is used for extracted feature detection. The experimental results show that the proposed system accomplishes 100% of accuracy, a sensitivity of 99%, recall of 99%, and an F1-score of 98% compared to other traditional models. As the system achieved correct results, it can help doctors to investigate breast cancer easily. (shrink)

The current study aimed to highlight the factors that may influence teachers' psychological resistance to digital technologies in entrepreneurship and business schools. Theoretically grounded in the diffusion of innovations theory and the theory of planned behavior, the current research investigates teachers' psychological resistance to digital innovation, school culture and climate, and moderation of teacher attitudes toward educational technologies. A cross-sectional field survey of 600 business and entrepreneurship school teachers was conducted in Jordan. In this study, partial least square-structural equation modeling (...) was used to assess the variables' “direct and moderating impacts” using the Smart PLS software 3.0. According to the results, school culture and school innovation climate had a considerable positive impact on teachers' resistance to digital innovation. Additionally, teachers' attitudes toward educational technologies moderated the relationship between study constructs in the framework. The study is a significant advance to the literature related to entrepreneurship, business education, and digital innovation. Several key policy insights and recommendations for further research, as well as theoretical and practical implications, are suggested. (shrink)

Young academics have been facing a problem of high turnover rate due to missing links between the institutions’ policies and the performance. This study explores the effect of job embeddedness and community embeddedness on creative work performance and intentions to leave of young teaching staff in academic institutions in Pakistan. In this study, 300 qualified young academics from public and private universities were selected as subjects and asked to complete a questionnaire. Data were collected via mail-survey. A variance-based structural equation (...) model is employed to measure the path model. The results show that the fit-dimension of organizational- and community-embeddedness, along with the moderating effect of organization size and the availability of nearby alternative jobs have a significant impact on improving perceived creative performance and reducing staff turnover intentions. This study suggests that organizations should focus on organizational-fit and community-fit constructs in their nurturing strategies to embed young teachers in their academic institutions. This study also suggests that monetary rewards only are relatively ineffective to improve retention. Hence, public and private sector universities should facilitate meaningful contributions from young teachers in creative work and provide opportunities for social interactions and personal development. (shrink)

Green Human Resource Management supports promoting and incorporating sustainable development with regard to their resources. Managers and customers actively utilize the limited resources efficiently and effectively to accomplish environment-friendly goals and objectives. The study focuses on investigating the moderating role of diffidence between Green HRM, among eco-friendly behavior and Employee Performance of frontline employees of the hospitality sector. Two hundred ten individuals particapted in the research from hospitality sector with regard to examine green HRM policies of employees along with their (...) influence on consumer buying behvaiour. Frontline employees incorporated the data on HRM performance, eco-friendly behavior, and diffidence. Besides, consumers gave their opinion on consumer buying behavior. The study’s findings revealed that Green HRM, aka Green HRM, directly impacts consumer behavior. In addition to this diffidence moderates the relationship between Green HRM and employee performance and employee eco-friendly behavior. Besides, future studies can explore the clothing and banking sector as the current study was conducted in fast food sector. (shrink)

This study explores corporate financing behavior regarding the company and country-level factors and risks associated with policy-related regulations. The study considers all three categories of risk: geopolitical risk, economic policy uncertainty, and political risk. In addition to this, we investigated how the links between diverse types of financing activities and the policy-related risks associated with them change depending on the type of financing strategy utilized. The study examined quarterly data from 2016Q1 to 2020Q3. EViews 12 is used for data analysis. (...) Findings show financial restrictions, as well as inequities within the sector, have an impact on corporate investment while policy-related risks might impact a company’s financing selections. Compared to equity financing, debt financing is more susceptible to policy-related risk. According to the available information, features at the company and nation levels also impact corporate finance choices. Finally, firms that have little financial resources are more susceptible to the adverse effects of policy-related risk than industrial companies are. Managers, as well as governments, should utilize these insights to design economic strategies that are more successful in the future. (shrink)