The Internet of Things (IoT) is a relatively new technology that has piqued academics’ and business information systems’ attention in recent years. The Internet of Things establishes a network that enables smart devices in an organisational information system to connect to one another and exchange data with the central storage. Android apps are placed on Android apps to enhance the user-friendliness of IoT devices in business information systems, making them more interactive and user-friendly. However, the usage of Android apps makes IoT devices susceptible to all forms of malware attacks, including those that attempt to hack into IoT devices and get access to sensitive information stored in the corporate information system. The researchers offered a variety of attack mitigation approaches for detecting harmful malware embedded in an Android application operating on an IoT device. In this context, machine learning offered the most promising strategies to detect malware attacks in IoT-based enterprise information systems because of its better accuracy and precision. Its capacity to adapt to new forms of malware attacks is a result of its learning capabilities. Therefore, we conduct a detailed survey, which discusses emerging machine learning algorithms for detecting malware in business information systems powered by the Internet of Things. This article reviews all available research on malware detection, including static malware detection, dynamic malware detection, promoted malware detection and hybrid malware detection. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

We employ Data Envelopment Analysis to estimate the new technical, new cost, and new profit efficiency of Indian banks over the period 2008–2018. Then, we use Random Forest Regression to examine the impact of corporate governance (Board Size, Board Independence, Duality, Gender Diversity, and Board Meetings), bank characteristics (Return on Assets, Size, and Equity to Total Assets), and other characteristics (Ownership and Years) on bank efficiency. Among others, we found that board characteristics play a significant role particularly in new profit efficiency; therefore, policymakers and regulators should consider Board Size, Board Independence, Board Meetings, and Duality while framing guidelines for enhancing bank new profit efficiency. We also found that Board Independence plays a vital role in bank new cost efficiency, while Gender Diversity contributes to both new technical and new cost efficiency. This study makes methodological contributions by employing Machine Learning based Random Forest Regression in tandem with Data Envelopment Analysis under a two-phase model to examine corporate governance and bank efficiency, which is a pioneering attempt. © Operational Research Society 2021.

Purpose: The purpose of this study is two-fold. First, it proposes a definition of Muslim entrepreneurship and second, it synthesizes existing literature on Muslim entrepreneurship published in the past decade. Design/methodology/approach: A systematic literature review technique has been used to identify and analyse the literature for a period between 2009 and 2019. Findings: Results of the study suggest that there is a dearth of literature conceptualizing and operationalizing the concept of Muslim entrepreneurship in the management literature. Further, studies examining the factors which affect Muslim entrepreneurship practices are limited. Research limitations/implications: The study has analysed only peer-reviewed articles from management literature. Originality/value: A synthesis of the literature on Islamic entrepreneurship is missing. Also, literature proposing a comprehensive definition of the concept and summarizing the factors which affect Muslim entrepreneurship practices are absent. © 2021, Emerald Publishing Limited.

The current COVID-19 issue has altered the way of doing business. Now that most customers prefer to do business online, many companies are shifting their business models, which attracts cyber attackers to launch several kinds of cyberattacks against commercial companies simultaneously. The most common and lethal DDoS attack disables the victim's online resources. While large businesses can afford defensive measures against DDoS assaults, the situation is different for new entrepreneurs. Their lack of security resources restricts their ability to ward off DDoS attacks. Here, we aim to highlight the problems that prospective entrepreneurs should be aware of before joining the business, followed by a filtering mechanism that efficiently identifies DDoS assaults in the COVID-19 scenario, which is the subject of our research. The suggested approach employs statistical and machine learning techniques to discriminate between DDoS attack data and regular communication. Our suggested framework is cost-effective and identifies DDoS attack traffic with a 92.8% accuracy rate. © 2022 Elsevier Inc.

About 70% of India’s current energy mix comprises of coal, and the increase in generation from renewable (RE) sources is affecting the health of the power system. We investigated this effect through the lens of asset utilisation, cost and the social disruption caused by accelerating RE into the Indian Power System. Our review-driven analysis revealed that increasing RE generation is pushing the coal plants to operate in low-loading conditions, causing heightened wear and tear of the plant as they are not suitable for flexible operation. The novel analysis of social disruption due to market parity between RE and coal-based generation presented a holistic view of the political economy of Indian Power System. We found that transition from coal to RE may have extended socio-political ramifications that can potentially disrupt the national economy at an unprecedented scale. Policy implications outlined by our study for the draft Electricity (Amendment) Bill 2020 include scoping a socio-technical framework which supports just energy transition through better financial support mechanisms for flexible operation of coal plants. Focusing on clean-up over shut-down of coal plants and facilitating investments in battery storage technologies and cross-border electricity trade as RE and conventional fuel reach market parity. © The Author(s) 2021.

Increasing depression and mental health problems among the elderly during the pandemic have become a grave concern. In the present study, we borrowed from the emotional contagion theory and examined the association between social media use (SMU) and depression among the elderly during the pandemic. Our findings suggest that active but not passive SMU is positively related to depression. Moreover, we also examined if SMU (both active and passive) has a varying effect on the mental health of the elderly based on their race, i.e. blacks and whites. Our findings suggest that active SMU is detrimental for both blacks and whites, whereas passive SMU is positively related to depression only among blacks. Further, we undertook multiperiod analyses where depression scores were measured at four different time periods. We found that the adverse impact of SMU on depression persists over time. The present study draws attention to the antecedents of depression among the elderly during COVID-19. Implications for theory and practice are discussed. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

This article examines representative games from Zapak.com: India’s most-popular gaming website (highest number of daily visitors) to conceptualize the relationship between masculinity and colonialism within digital geographies, in postcolonial spaces. Three of the four games chosen here, Sleeping at the Meeting, Zombie Pirate and Yoga Teacher, are representative of games categorized as ‘Girl’s Games’ on Zapak.com: where the ludic engagement is limited to dressing and undressing of white women in a variety of professional or social contexts. The fourth game Bipasha’s Beach Blaze is a continuation of such reductive stereotyping, albeit in the different but culturally significant site of Bollywood. The four games were selected using a case-study methodology and represent discrete but related artifacts. Following a survey of key literature, the authors address the limitations of traditional game studies approaches and propose a replicable methodology located at the intersection of two epistemic frames: one of critical masculinity studies and the other of ludology. Through analyzing the strategic ideologies behind the production, circulation and the game-play of these digital artifacts we argue that Zapak.com not only enables online sexism but also becomes a representative digital space where anxious performances of postcolonial masculinity–that has its historical basis in India’s colonial legacy–can be materialized. Further in highlighting the status of these ‘Girl’s Games’ as artifacts that do not allow for any substantial ludic or narrative involvement–we emphasize the need to constantly interrogate digital spaces as sites where hegemonic ideologies about race, gender and colonialism are reproduced and reified. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Cold Start problems in recommender systems pose various challenges in the adoption and use of recommender systems, especially for new item uptake and new user engagement. This restricts organizations to realize the business value of recommender systems as they have to incur marketing and operations costs to engage new users and promote new items. Owing to this, several studies have been done by recommender systems researchers to address the cold start problems. However, there has been very limited recent research done on collating these approaches and algorithms. To address this gap, the paper conducts a systematic literature review of various strategies and approaches proposed by researchers in the last decade, from January 2010 to December 2021, and synthesizes the same into two categories: data-driven strategies and approach-driven strategies. Furthermore, the approach-driven strategies are categorized into five main clusters based on deep learning, matrix factorization, hybrid approaches, or other novel approaches in collaborative filtering and content-based algorithms. The scope of this study is limited to a systematic literature review and it does not include an experimental study to benchmark and recommend the best approaches and their context of use in cold start scenarios. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Africa is abundantly endowed with oil and mineral resources and investment (Habiyaremye, 2020; Zakari and Khan, 2021). However, the region has failed to transform this ample advantage for environmental prosperity. This study centers on the influence of energy resources, Chinese investment, and trade in Africa on the environmental quality of the 40 SSA countries. To achieve this objective, we applied Panel Driscoll-Kraay Standard Errors (PDSE) and System-Generalized Method of Moment (S-GMM) estimators for yearly data spanning the period of 1992–2018. The empirical finding demonstrates that there is a positive relationship between energy resources and environmental degradation. This suggests that energy resources cannot help improve the environmental degradation in Africa. However, we find a negative relationship between Chinese investment, trade, and environmental degradation, indicating that Chinese investment and trade are associated with improving environmental quality. In the light of this, we strongly advise that the SSA states should direct their foreign business to China. With that, environmental-friendly technologies can be obtained to cut down environmental pollution. However, the government should formulate and enforce regulations against non-environmentally friendly energy resources systems capable of damaging the environment. © 2022 Elsevier Ltd

This study assesses the degree to which the social value of patents can be connected to the private value of patents across discrete and complex innovation. The underlying theory suggests that the social value of cumulative patents is less related to the private value of patents. We use the patents applied between 1995 and 2002 and granted on or before December 2018 from the Indian Patent Office (IPO). Here, the patent renewal information is utilised as a proxy for the private value of the patent. We have used a variety of logit regression model for the impact assessment analysis. The results reveal that the technology classification (i.e., discrete vs. complex innovations) plays an important role in patent value assessment, and some technologies are significantly different than the others even within the two broader classifications. Moreover, the non-resident patents in India are more likely to have a higher value than the resident patents. According to the conclusions of this study, only a few technologies from the discrete and complex innovation categories have some private value. There is no evidence that patent social value indicators are less useful in complicated technical classes than in discrete ones. © 2022 World Scientific Publishing Europe Ltd.

Purpose: This study aims to examine the effect of supply chain agility (SCA) on operational performance (OP) measurements of steel manufacturing firms. It also investigates the role of cost efficiencies concerning enhance OPs. Design/methodology/approach: The study is based on an experimental research design by collecting data from responses 398 responses of key officials of India’s steel manufacturing firms. Analyses are carried to explore this modern concept with the help of Smart-partial least square (PLS) version 3.3.2 with confirmatory factor analysis and PLS structural equational modelling. Findings: SCA factor (SCAF) directly has influenced the firm’s OP. It also represents cost efficiencies that have partial mediation between the SCAF and OP. The impact of cost efficiencies on OPs is strongly significant as compared to the impact of SCAF on cost efficiencies. Practical implications: Management teams in the manufacturing industry should stress the role of SCA as a comprehensive concept in responding to market needs in a volatile environment. SCA reflects one of its winning strategies in today’s dynamic and competitive world. Managers must thoroughly know the ramifications of agility to develop a mechanism for determining the procedures and identifying inequality in SC operation. Originality/value: This study speaks explicitly about the linkage between SCAF, OP, CE. It is an addition to the existing theories of RBV. Enhancements in OP measurements, specifically performance and flexibility, will lead to better firm performance. study conceptualizing the complementing effects of SCA (IS capability) and OPs and second cost efficiencies play positive partial mediating effect in between the link. The achievement of SC agile is especially a critical approach to Boost customer satisfaction and differentiate market position. © 2021, Emerald Publishing Limited.

Purpose: The purpose of this paper is to identify critical Clean Development Mechanism (CDM) benefits and assess their relative significance in the context of developing economies (e.g. India). Design/methodology/approach: This study has conducted face-to-face (offline/online) discussions with experts in order to identify appropriate criteria and related CDM benefits. Further, this study has used subsequently, using the analytic hierarchy process, a multi-criteria decision-making method and assess the relative significance of benefits of CDM projects. Findings: The results reveal that knowledge and capacity building, technology transfer and social benefits are the most significant CDM benefits, respectively. It is because the knowledge and capacity building tends to disseminate the awareness on CDM benefits among policymakers and stakeholders, thereby, lead to efficient policy-making and encourage effective technology transfer in a way to achieve sustainable economic growth in the host country. Originality/value: The literature is dominated by studies of CDM projects in Brazil, Mexico, Chile, Africa and China. Within the thousands of CDM projects globally, India only has 1,376 registered CDM projects. To the authors' knowledge, this is one of the first studies that highlight the relative significance of CDM benefits in the context of India. This study will enhance the implementation in the Indian scenario. © 2022, Emerald Publishing Limited.

This paper examines the implications of short-sale constraints, limits to arbitrage, and behavioral biases on the FEARS sentiment and stock returns asymmetric relationship. Our results indicate a strong negative relationship between FEARS sentiment and stock return. Our findings show that short-sell and arbitrage constraint attenuates the potential impact of sentiment on return behavior. We find that the FEARS sentiment influences behavioral biases and the trading activity of market participants. © 2022 Taylor & Francis Group, LLC.

India's envisages uptake of 450 Giga Watt (GW) of renewable energy capacity by 2030. The resulting system flexibility needs can be met by 50 GW of 4-hour energy storage. However, system flexibility has historically been met by coal power plants, and India also plans to install 50 GW of new coal power capacity during 2022–27. Our paper answers three related questions that would maximize deployment of battery storage with appropriate policy design. First, what is the cost-competitiveness of renewable energy and battery storage compared to new coal-based power? Second, what should be the high-level policy framework for ensuring necessary deployment of battery storage? Third, what should be the appropriate procurement mechanisms for battery storage along with renewable energy? To answer these questions, we first compare forecasted levelized cost of energy for renewable energy and battery storage with coal power, and then use two frameworks to investigate policies. Our findings are as follows. First, renewable energy and battery storage is cost-competitive over new coal starting 2022. Second, India should adopt a battery portfolio standard (BPS) that is linked to existing renewable portfolio standard (RPS). Third, India should adopt the renewable dispatchable generation (RDG) power purchase agreement (PPA) to ensure that multiple policy criteria are met. © 2021 Elsevier Inc.

Employee engagement is critical for the sustenance of organizations. Scholars have highlighted that the employer-employee interaction is an essential mechanism that enhances employee engagement. The communicative and interactional features of AI applications in HRM allow for a personalized and individualized approach to employees. The proliferation of AI-based solutions is increasing in various dimensions of HR business processes, leading to enhanced employee experiences and job satisfaction. However, this research domain is exploratory concerning the impact of AI-mediation HRM practices. Based on a multi-source, time-lagged study spanning over ten months in a multinational company, we have investigated the impact of AI-enabled chatbots on employee engagement in the present study. We have also examined climate for trust as the path through which chatbots impact engagement. Moreover, we have analyzed the implications of AI-enabled chatbots on employee outcomes based on their age and past performance. The contributions of the study to theory and practice have also been discussed. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

This study examines the impact of internationalization on the corporate misconduct of earnings management by emerging market multinational enterprises. We propose that internationalization exposes these firms to heightened scrutiny by meta-institutional field and host country stakeholders, and EMNEs reduce earnings manipulation to avoid de-legitimation in the minds of host-nations’ stakeholders. We find empirical evidence for our predictions on a multi-industry sample of 21,477 firm-year observations belonging to 2,461 Indian firms during 2005 – 2018. Additionally, we find that internationalization induced 'external monitoring' plays a substitutive role for the 'internal monitoring' mechanisms of corporate governance on earnings management. © 2022

This paper estimates the efficiency of value added by banks using their total resources (physical capital resources and intangible resources) and finds an association between board characteristics and efficiency of value added. The paper is grounded in the theory of resource and knowledge based view of the firm, and agency theory, and tries to establish links between these two theories. This study departs from existing literature of examining the effect of board characteristics on financial performance, corporate sustainability, and corporate environmental responsibility, and tries to understand the relationship between board characteristics and the efficiency of value added by banks through their resources. This is also the first study of its kind to study the relationship between board structure characteristics and value creation in Indian banks using the Value Added Intellectual Coefficient (VAIC) methodology. Using the data for 41 commercial banks in India from 2008 to 2017 and by employing Prais-Winsten Regression, this study finds that board meetings and CEO-Chairman duality significantly and positively influence the efficiency of value added by banks through their total resources and intellectual capital resources. At the same time, independence in the boards negatively influences the efficiency of value added through physical capital resources. Overall, the findings of the paper indicate that board governance influences bank performance measured in terms of efficiency of value added. Policymakers, regulators, and bank managers should frame appropriate policies to ensure more board meetings, and the presence of board duality. © 2022 Elsevier Inc.

Purpose: The focus is on how agencies can mitigate client opportunism in an agency-client relationship (ACR), particularly during the agency selection stage involving a pitch. This paper aims to empirically investigate the moderating effects of organizational mechanisms (particularly informational cues) and the agency’s past behavior on client opportunism. In a moderated moderation, this paper tests the effects of calculative commitment, informational cue and agency’s past behavior on the main effect. Design/methodology/approach: The research is in the context of ACR involving a pitch at the agency selection stage. A mixed-method approach is used. In depth interviews with senior level executives were used to design the experimental vignettes. The main study uses experimental vignettes in a survey. Findings: The study finds the prevalence of client opportunism during the pitch. The study reveals a significant relationship between information asymmetry and client opportunism. The findings of the study support the effectiveness of organizational mechanisms in mitigating client opportunism. The findings indicate that a proactive approach such as using informational cues mitigates client opportunism as it signals to the client that the agency cares for its intellectual property. Clients also take a cue from agencies past behavior. Third-party complaints and voice complaint deters client opportunism. Moderated moderation reveals that the client’s calculative commitment impacts client opportunism. Originality/value: The study is novel in empirically examining client opportunism during the agency selection stage involving a pitch. The study re-emphasizes that information asymmetry is the primary reason for client opportunism in ACR at the agency selection stage. The role of organizational mechanism and agency response in mitigating client opportunism is a welcome addition. Moderated moderation effects involving calculative commitment is a novel addition. © 2021, Emerald Publishing Limited.

Just-in-time manufacturing necessitates finding short repeated sequences of products. The literature addressed this mixed model scheduling objective using the product rate variation (PRV), which maximises the deviation between the actual proportions and ideal proportions of jobs in the sequence. Researchers have reported application of PRV minimisation in manufacturing as well as in service industry. In this paper, we address this problem considering the completion times of the jobs in the sequence instead of the PRV, and show instances where maximising the sum of completion time variances (SCTVs) is an effective alternative to PRV for the mixed model sequencing problem. We propose algorithms using tabu search and genetic algorithms to solve the SCTV problem and show computational results. Copyright © 2022 Inderscience Enterprises Ltd.

Purpose: The purpose of this study is to investigate the impact of dissatisfaction and anger, driven by the failure of the self-service technology of banks, on customers' post-purchase behavioural reactions, such as complaints, negative word-of-mouth (NWOM) and supplier change. The stability of the failure is proposed to moderate these relationships. Design/methodology/approach: The proposed research model was tested through data collected from an online survey of a Tunisian sample of 300 respondents, using the scenario method. Findings: The study validates the positive impact of dissatisfaction on anger and negative word-of-mouth, as well as that of anger on complaint behaviour and negative word-of-mouth. The relation between dissatisfaction and negative word-of-mouth is mediated by anger. When the failure is stable, dissatisfied users of the self-service technology seek to enhance their negative word-of-mouth and supplier change. The results also show that the stability of the failure enhances the effect of anger on complaint behaviour. Practical implications: Banks should invest efforts to accelerate the recovery of services to reduce consumer dissatisfaction and anger and prevent adverse behavioural outcomes. Further, they need to ensure that failures are not repeated, as failure stability activates some otherwise non-significant behavioural outcomes, like supplier change. Originality/value: Previous works have focused on the impact of dissatisfaction and negative emotions for interpersonal services, but very few works have come to associate dissatisfaction, anger, complaint, negative word-of-mouth and supplier change in an integrative framework for an self-service technology failure. © 2021, Emerald Publishing Limited.