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  • CEOs' regulatory foci and firm-level product innovativeness in competitive environments

    Adomako, Samuel (2017-06)
    Purpose: Using arguments from the regulatory focus and upper echelons theories, this paper aims to examine the impact of a chief executive officer’s (CEO’s) regulatory foci (i.e. promotion and prevention focus) on small- and medium-sized enterprises’ (SMEs’) level of innovativeness and how these relationships are jointly moderated by intense competition. Design/methodology/approach: The empirical analysis draws on survey data gathered from 257 SMEs in Ghana. Findings: The study findings indicate that a CEO’s level of promotion focus positively affects the firm’s engagement in innovation, while a CEO’s prevention focus is negatively associated with the firm’s innovativeness. The positive association between a CEO’s promotion focus and a firm’s innovativeness is enhanced under conditions of intense competition. Additionally, the negative relationship between prevention focus and firm-level innovativeness is attenuated under intense competition. Research limitations/implications: This study relied on a single informant and also used subjective measures for the dependent variable. As such, individual respondents might have biased perspectives on firm-level product innovativeness. Future studies may use multiple informants to examine the causal links of the variables. Practical implications: The study’s findings provide managers with a deeper understanding of how to achieve superior firm-level product innovation. The understanding of this issue can promote the development and maintenance of further entrepreneurial ventures in emerging economies. Originality/value: The paper has a strong theoretical value as it pioneers research on the effect of CEOs’ regulatory foci on firm-level innovativeness in competitive environments.
  • The application of PROMETHEE multi-criteria decision aid in financial decision making: case of distress prediction models evaluation

    Mousavi, Mohammad M.; Lin, J. (2020-11-30)
    Conflicting rankings corresponding to alternative performance criteria and measures are mostly reported in the mono-criterion evaluation of competing distress prediction models (DPMs). To overcome this issue, this study extends the application of the expert system to corporate credit risk and distress prediction through proposing a Multi-criteria Decision Aid (MCDA), namely PROMETHEE II, which provides a multi-criteria evaluation of competing DPMs. In addition, using data on Chinese firms listed on Shanghai and Shenzhen stock exchanges, we perform an exhaustive comparative analysis of the most popular DPMs; namely, statistical, artificial intelligence and machine learning models under both mono-criterion and multi-criteria frameworks. Further, we address two prevailing research questions; namely, "which DPM performs better in predicting distress?" and "will training models with corporate governance indicators (CGIs) enhance the performance of models?”; and discuss our findings. Our multi-criteria ranking suggests that non-parametric DPMs outperform parametric ones, where random forest and bagging CART are among the best machine learning DPMs. Further, models fed with CGIs as features outperform those fed without CGIs.
  • Artificial intelligence in financial services: systemic implications and regulatory responses

    Kapsis, Ilias (2020-04)
    The article offers information on expansion of Artificial Intelligence (AI) in the financial services industry. Topics include Financial institutions see in it more opportunities for efficiency generation, improved profitability, and opportunities for differentiation for the building of competitive advantages; and develop, to improve reporting, and compliance processes.
  • Governance disclosure quality and market valuation of firms in UK and Germany

    Ullah, S.; Ahmad, S.; Akbar, Saeed; Kodwani, D.; Frecknall-Hughes, J. (Wiley, 2020)
    This study develops a 'comply or explain' index which captures compliance and quality of explanations given for non-compliance with the corporate governance codes in UK and Germany. In particular, we explain, how compliance and quality of explanations provided in non-compliance disclosures, and various other internal corporate governance mechanisms, affect the market valuation of firms in the two countries. A dynamic generalised method of moments (GMM) estimator is employed as the research technique for our analysis, which enabled us to control for the potential effects of endogeneity in our models. The findings of our content analysis suggest that firms exhibit significant differences in compliance, board independence and ownership structure in both countries. The 'comply or explain' index is positively associated with the market valuation of UK firms suggesting that compliance and quality governance disclosure is value relevant in the UK. Institutional blockholders' ownership is however, negatively associated with the market value of firms, which raises questions about the monitoring role of institutional shareholders in both countries. We argue that both compliance and explanations given for non-compliance are equally important, as long as valid reasons and justifications for non-compliance are provided by the reporting companies. These findings thus imply that the 'comply or explain' principle is working well and that UK and German companies could benefit from the flexibility offered by this principle. With respect to the role of board size, board independence, ownership structure, and institutional ownership of firms, this study offers policy implications.
  • Role of technological dimensions of green supply chain management practices on firm performance

    Bag, S.; Gupta, S.; Kumar, S.; Sivarajah, Uthayasankar (2020)
    Purpose The research study aims to investigate green supply chain management (GSCM) elements as part of a complete system. It aims to understand the special properties of the GSCM system under the moderating effects of product complexity and purchasing structure. Design/methodology/approach A thorough literature review led to the building of the conceptual framework. Six constructs were identified using systems theory. These constructs include green supply chain technological dimensions (particularly, Artificial Intelligence (AI) based), green supply chain strategy, green supply chain process, product complexity, purchasing structure, and firm performance. The instrument was scientifically developed for gathering survey responses using complete design test methods. The conceptual model was eventually tested based on survey data collected from 250 automotive components and allied manufacturers in the emerging economy of South Africa. Findings The results indicate that GSCM technological dimensions (AI-based) positively influence GSCM strategy. Further, GSCM strategy was found to positively influence the GSCM process. The GSCM processes have significant effects on environmental performance, social performance, and financial performance. The product complexity has a significant moderation effect on the paths GSCM strategy and GSCM process. Originality/value The findings from multivariate data analysis provide a better understanding of GSCM system dynamics and are helpful to key decision-makers. This unique model has elevated GSCM theory to a new level. There are limited studies available in the existing GSCM literature using systems theory. This study will offer an advanced/comprehensive understanding to readers in this relatively new concept.
  • Human resource slack, sustainable innovation and environmental performance of small and medium-sized enterprises in sub-Saharan Africa

    Adomako, Samuel; Nguyen, N.P. (2020)
    Despite the burgeoning interests in the environmental strategy, there is a limited understanding of how human resource slack drives sustainable innovation and environmental performance. This paper contributes to filling this gap by examining the effect of human resource slack on sustainable innovation and its impact on environmental performance. Besides, this paper investigates the contingent effects of intangible resource advantage on this relationship. The hypotheses are tested using data from 301 small and medium‐sized enterprises in Ghana. The results suggest that human resource slack positively relates to sustainable innovation and this relationship is moderated by intangible resource advantage. Also, we find that sustainable innovation mediates the relationship between human resource slack and environmental performance. The insights from our paper provide a nuanced understanding of the relationships among human resource lack, sustainable innovation, and environmental performance. Implications for theory and practices are discussed.
  • Talent management practice in Oman: The institutional perspective

    Al Amri, R.; Glaister, Alison J.; Spicer, David P. (Edward Elgar, 2016)
  • Achieving superior organizational performance via big data predictive analytics: A dynamic capability view

    Gupta, S.; Drave, V.A.; Dwivedi, Y.K.; Baabdullah, A.M.; Ismagilova, Elvira (2020)
    The art of unwinding voluminous data expects the expertise in analyzing meaningful decisions out of the acquired information. To encounter new age challenges, practitioners are trying hard to shatter the constraints and work edge-to-edge to achieve higher performance (Market, Financial and Operational performance). It is evident that organizations desire to exploit maximum of their injected resources, but often fail to reap their actual potential. Developing resource-based capabilities stands out to be the most concerned aspect for the firms in recent times, and the same is studied by the previous scholars. In the dearth of literature, it is challenging to find out evidence which marks up the effect of strategic resources in the development of dynamic organizational capability. This study is a two-fold attempt to examine the relationship between organizational capabilities, i.e. big data predictive analytics while achieving superior organizational performance; also, examining the effect of control variables on superior organizational of performance. We tested our research hypotheses using cross-sectional data of 209 responses collected using pre-tested single-informant questionnaire. The results underpin criticality human factor while developing analytical capabilities dynamic in nature in the process of achieving superior performance.
  • Unanticipated consequences of interactive marketing: systematic literature review and directions for future research

    Ismagilova, Elvira; Dwivedi, Y.K.; Rana, Nripendra P. (2020-05)
    Internet and social media have created new opportunities and challenges for marketing practices. This research provides a comprehensive analysis of the unanticipated consequences of interactive marketing. The current study focuses on a number of aspects of interactive marketing research such as consumer-to-consumer and consumer-to-company communications, consumer brand engagement, impact of social influencers and online buzz, impact of online advertisement, companies adoption and use of new technologies by companies, consumer empowerment by digital technologies, complain handling, impact of mobile advertising, co-creation, and impact of social media marketing. This research provides a valuable synthesis of the relevant literature. The findings of this study could be used as an informative framework for both academics and practitioners.
  • Return on Investment in Social Media Marketing: Literature Review and Suggestions for Future Research

    Lal, B.; Ismagilova, Elvira; Dwivedi, Y.K.; Kwayu, S. (Springer, 2020)
    Social media facilitates and enhances communication between businesses and customers. Nowadays, although it is commonly recognised that companies implement social media into their marketing activities, it is also acknowledged that companies struggle to calculate the return on investment (ROI) from social media marketing efforts as most of them focus only on certain tangible outcomes such as the impact on sales and purchases. Attempts have been made by researchers to identify how to measure key impacts of social media in relation to marketing; however, there remains a lack of empirical data and no comprehensive overview of what “ROI” can mean for an organisation seeking returns on their social media adoption. By knowing how to measure ROI from social media, companies can produce valuable insights which can help enhance marketing strategies in promoting their products/services. Thus, the aim of this chapter is to provide a review of ROI in social media marketing with a particular focus on intangible outcomes such as brand awareness, customer engagement/relationship and eWOM.
  • Use of social media by b2b companies: systematic literature review and suggestions for future research

    Dwivedi, Y.K.; Ismagilova, Elvira; Rana, Nripendra P.; Weerakkody, Vishanth J.P. (2019-08)
    Social media plays an important role in the digital transformation of businesses. This research provides a comprehensive analysis of the use of social media by b2b companies. The current study focuses on a number of aspects of social media such as: the effect of social media; social media tools; social media use; adoption of social media use and its barriers; social media strategies; and measuring the effectiveness of the use of social media. This research provides a valuable synthesis of the relevant literature on social media in the b2b context by analysing and discussing the key findings from existing research on social media. The findings of this study can be used as an informative framework on social media for both academics and practitioners.
  • Weight Analysis of the Factors Affecting eWOM Providing Behavior

    Ismagilova, Elvira; Dwivedi, Y.K.; Rana, Nripendra P.; Sivarajah, Uthayasankar; Weerakkody, Vishanth J.P. (2020)
    Electronic word of mouth (eWOM) significantly affects the consumer decision-making process. A number of studies investigated why consumers provide eWOM communications. Existing literature has contradicting factors regarding factors affect eWOM providing behaviour. This study aims to evaluate factors affecting eWOM providing behaviour by performing a systematic review and weight analysis of existing research outputs. Based on the result of weight analysis it was found that the best predictors of eWOM providing behaviour are involvement, self-enhancement, and trust in web eWOM services. Scholars can use the results of this study when making decisions regarding the inclusion of factors in their research. Practitioners can pay more attention to the best predictors.
  • "Working to live, not living to work": low-paid multiple employment and work-life articulation

    Smith, Andrew J.; McBride, J. (Sage, 2020)
    This paper critically examines how low-paid workers, who need to work in more than one legitimate job to make ends meet, attempt to reconcile work and life. The concept of work-life articulation is utilised to investigate the experiences, strategies and practicalities of combining multiple employment with domestic and care duties. Based on detailed qualitative research, the findings reveal workers with 2, 3, 4, 5 and even 7 different jobs due to low-pay, limited working hours and employment instability. The study highlights the increasing variability of working hours, together with the dual fragmentation of working time and employment. It identifies unique dimensions of work extensification, as these workers have an amalgamation of jobs dispersed across fragmented, expansive and complex temporalities and spatialities. This research makes explicit the interconnected economic and temporal challenges of low-pay, insufficient hours and precarious employment, which creates significant challenges of juggling multiple jobs with familial responsibilities.
  • Effectiveness of pull-based print advertising with QR codes Role of consumer involvement and advertisement appeal

    Trivedi, Rohitkumar; Teichert, T.; Hardeck, D. (2019-12-12)
    Despite quick response (QR) codes’ prominence, little is known about their embedding in pullbased communications. This study aims to measure QR code effects in print advertising along five different stages of consumer decision making, using advertisement appeals with moderating effects of product category involvement. Data were derived from a German market research initiative with 326,212 consumer evaluations for 792 real print advertisements from 26 product categories. Multinomial logit models were used to investigate the effects of QR code presence on consumer reactions. QR codes steer purchase intention in a low-involvement product category if used alongside an emotional appeal. Advertisements for high-involvement products benefit if QR codes are combined with an overall informational appeal. QR codes do not enhance the persuasive effects of advertisements’ informational appeals in a low-involvement product category. The effects of QR codes on consumers’ responses cannot be analysed in isolation but depend on advertisement context. They interact with advertisements’ informational and emotional appeals and product category involvement. Marketers should not use QR codes indiscriminately but should carefully consider advertisement context. QR codes should be used alongside an emotional appeal if the marketer’s objective is to induce purchase intention in low-involvement settings. Advertisements for high-involvement products need to combine QR codes with an informational appeal. This study highlights the interplay of effects in print advertisements, which are typically considered push-based when they are combined with QR codes as pull-based communications in the digital marketing area.
  • Team Trust

    Costa, Ana-Cristina; Anderson, N.R. (Willey-Blackwell, 2017-03-23)
    This chapter seeks to clarify the definition of trust and its conceptualization specifically at the team or workgroup level, as well as discussing the similarities and differences between interpersonal and team level trust. Research on interpersonal trust has shown that individual perceptions of others trustworthiness and their willingness to engage in trusting behavior when interacting with them are largely history‐dependent processes. Thus, trust between two or more interdependent individuals develops as a function of their cumulative interaction. The chapter describes a multilevel framework with individual, team and organizational level determinants and outcomes of team trust. It aims to clarify core variables and processes underlying team trust and to develop a better understanding of how these phenomena operate in a system involving the individual team members, the team self and the organizational contexts in which the team operates. The chapter concludes by reviewing and proposing a number of directions for future research and future‐oriented methodological recommendations.
  • Interfirm Collaboration and CSR Expenditure in Turbulent Environments: The Moderating Role of Entrepreneurial Orientation

    Adomako, Samuel; Nguyen, P.N. (Wiley, 2020)
    This paper draws on resource dependency theory to examine the impact of interfirm collaboration on CSR expenditure. In addition, we examine entrepreneurial orientation (EO) as a moderator of the relationship between interfirm collaboration and CSR expenditure. We test our research model using survey data from 230 small and medium-sized enterprises (SMEs) in Ghana. Results from our empirical analyses reveal that interfirm collaboration positively impacts CSR expenditure and this relationship is strengthened when entrepreneurial orientation is greater in turbulent environments. Implications for theory and practice are discussed.
  • Politically connected firms and corporate social responsibility implementation expenditure in sub-Saharan Africa: Evidence from Ghana

    Adomako, Samuel; Nguyen, N.P. (Wiley, 2020)
    While previous research has emphasized the role of stakeholder pressures, firm‐specific factors, as well as CEO characteristics as important drivers of corporate social responsibility (CSR) implementation, our understanding of how political connections impact small and medium‐sized enterprises' (SMEs') CSR implementation expenditure is quite limited. In this study, we contribute to filling this gap by investigating the effects of political connections and CSR expenditure and explain the conditions that impact this relationship. Using data from 473 SMEs in Ghana, we find that political connections negatively influence CSR implementation expenditure. However, the negative effect is weakened when a firms' reputation and competitive CSR implementation pressures are high. Implications for theory and practice are discussed.
  • Towards a Circular Economy: An Emerging Economies Context

    Patwa, N.; Sivarajah, Uthayasankar; Seetharaman, A.; Sarkar, S.; Maiti, K.; Hingorani, K. (2020)
    Circular Economy (CE) and the adoption of its principles globally are more important than ever to sustain the rate of production of goods and services to meet the ever-increasing consumer demand that is burdening the environment and society. This study investigates the adoption of CE principles amongst emerging economies as the challenges faced by these economies are generally different in terms of resource availability, varying government policies and consumer behaviour from those of developed economies. This research presents an empirically validated CE adoption model using a sample of 183 consumer responses. The study highlights the strong influence of factors such as consumer behaviour on the acceptance of remanufactured products and using products as a service to encourage the adoption of CE practices in emerging economies. This research offers businesses, consumers and policy makers insights into measures that have been taken by emerging economies that are in line with CE principles.
  • Citizens' continuous use of eGovernment services: The role of self-efficacy, outcome expectations and satisfaction

    Alruwaie, M.; El-Haddadeh, R.; Weerakkody, Vishanth J.P.; Ismagilova, Elvira (2020-07)
    The continuous use of eGovernment services is a de facto for its prosperity and success. A generalised sense of citizens' self-efficacy, expectations, and satisfaction offer opportunities for governments to further retain needed engagements. This study examines the factors influencing citizens' continuance use of eGovernment services. Through the integration of Social Cognitive Theory, Expectation Confirmation Theory, DeLone and McLean IS success model, and E-S-QUAL, a survey of 471 citizens in the UK, engaging in online public services, found that prior experience, social influence, information quality, and service quality, personal outcome expectation, and satisfaction, are significant predictors of citizens' intention to use eGovernment, when they are regulated, through citizens' self-efficacy. The present study extends the roles of pre-adoption and post-adoption by offering a self-regulating process. Therefore, it demonstrates how critical it is for the government's leaders to understand the patterns of the long-term process for electronic systems continually.
  • Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal

    Patil, P.; Tamilmani, Kuttimani; Rana, Nripendra P.; Raghavan, V. (2020-10)
    Mobile payments are the future as we move towards a cashless society. In some markets, cash is already being replaced by digital transactions, but consumers of many developing countries are slower in transition towards digital payments. This study aims to identify major determinants of consumer mobile payment adoption in India the country with second largest mobile subscribers in the world. Existing mobile payments adoption studies have predominantly utilised Technology Acceptance Model (TAM), which was primarily developed in organisational context and criticised for having deterministic approach without much consideration for users’ individual characteristics. Therefore, this study adapted meta-UTAUT model with individual difference variable attitude as core construct and extended the model with consumer related constructs such as personal innovativeness, anxiety, trust, and grievance redressal. Empirical examination of the model among 491 Indian consumers revealed performance expectancy, intention to use, and grievance redressal as significant positive predictor of consumer use behaviour towards mobile payment. Moreover, intention to use was significantly influenced by attitude, social influence, and facilitating conditions. The major contribution of this study includes re-affirming the central role of attitude in consumer adoption studies and examining usage behaviour in contrast to most existing studies, which examine only behavioural intention.

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