Environmental, Social, and Corporate Governance by Avoiding Management Bias and Tax Minimization

The COVID-19 pandemic shock made nations worldwide seek support in different forms of international cooperation, realizing that strength is derived from countries' capacities to unite their forces and act together in times of crisis. Faced with the perspective of the COVID-19 crisis consequences, states have to adapt, focusing on implementation of robust managerial strategies and concentrating attention on ensuring strong financial systems. Given that, on the one hand, in the attempt to provide a healthy life and sustainable development, a balance needs to be established in terms of environmental, social, and corporate governance; and, on the other hand, in the quest to guarantee fair and transparent tax systems, a minimum global tax rate should be implemented. Likewise, in the new economy, the knowledge-based economy, the digitalized economy, business organizations should act in the spirit of sustainability while centering their efforts on efficiency, productivity, profitability, and performance and benefiting from the impressive advantages provided by intangible assets.

The Use of Mobile Applications for Travel Booking: Impacts of Application Quality and Brand Trust

The increasing use of mobile applications by travellers and the high adaption of tourism companies into this new contact and sales platform, made it necessary to comprehensively investigate the mobile application users’ behaviours. This research combines the Stimulus-Organism-Response (S-O-R) framework and Technology Acceptance Model (TAM) to develop a theoretical background in examining travel booking behaviour of mobile application users. The conceptual model suggests that mobile application quality (MAQ) directly affects perceived ease of use (PEOU) and perceived usefulness (PU) which influence the intention to use (IU) mobile applications. Moreover, the offline brand trust (BT) has been hypothesised as a moderator between PEOU and PU's impacts on IU mobile applications. Analyses results indicated that system and service quality dimensions of MAQ significantly affect IU mobile application via PEOU and PU. Moreover, offline BT had both direct and moderator influences on the formation of IU mobile application. The study findings contributed to the theory in understanding mobile application users’ behaviours and suggested valuable managerial strategies in the m-commerce context.

Citations or dollars? Early signals of a firm's research success

Scientific and technological progress is largely driven by firms in many domains, including artificial intelligence and vaccine development. However, we do not know yet whether the success of firms’ research activities exhibits dynamic regularities and some degree of predictability. By inspecting the research lifecycles of 7,440 publicly listed firms, we find that the economic value of a firm’s early patents is an accurate predictor of various dimensions of a firm’s future research success. At the same time, a smaller set of future top-performers do not generate early patents of high economic value, but they are detectable via the technological value of their early patents. Importantly, the observed predictability cannot be explained by a cumulative advantage mechanism, and the observed heterogeneity of the firms’ temporal success patterns markedly differs from patterns previously observed for individuals’ research careers. Our results uncover the dynamical regularities of the research success of firms, and they could inform managerial strategies as well as policies to promote corporate development and accelerate human progress.

Benchmarking the assessment of barriers to the admission of management education in India during the COVID-19 pandemic

PurposeThis paper proposes a decision-making framework for assessing various dimensions and barriers that have affected the admission process in management educational institutions during the ongoing pandemic. The framework considers the interrelationship between the obstacles and highlights the importance of each barrier.Design/methodology/approachAn integrated method based on decision-making trial and evaluation laboratory and analytical network process is proposed to structure the barrier assessment framework. Results obtained from the study are validated by comparing them against the conventional analytical hierarchy process.FindingsThe results obtained from this study indicate four significant dimensions that hinder admission in Indian management institutes, namely, governmental, financial, sectoral, institutional and market. The top five barriers are demand shift towards technical (alternative) skills, acceptance of the graduated students, lack of industry–institute collaboration, lack of long-term vision and opening new Indian Institute of Technologies (IITs) and Indian Institute of Managements (IIMs).Research limitations/implicationsDuring this ongoing pandemic, many educational institutes have been forced to shift from the traditional classroom to a virtual teaching model. In this regard, this study helps identify and assess the barriers to admission in Indian management institutes during this epidemic and thus, contribute to the literature. The findings will assist all stakeholders and policymakers of management institutions design and develop appropriate managerial strategies. The study is conducted in the Indian management educational institute context and can be extended to technical education institutions for deeper insights.Originality/valueThe paper develops an assessment framework for analysing the barriers to admission in Indian management institutes during the ongoing COVID-19 pandemic. Research implications are discussed in the context of a developing country.

Workplace Bullying and Intensification of Labour Controls in the Clothing Supply Chain: Post-Rana Plaza Disaster

This article examines workplace bullying and the intensification of labour controls in the clothing supply chain. It appears that extreme forms of bullying are deployed to intensify labour controls, including locking workers in, frequent wage cuts, setting moveable targets and carrying out intense observations. The context of this study is surplus value-starved clothing factories in Bangladesh. Global supply chains’ production regimes and the absence of state protections and trade unions enable factory managers to systematically deploy bullying tactics to achieve production targets. Drawing on Burawoy’s works, this article advances the debate of how workplace bullying is impacted by wider structural conditions with managerial strategies of coercion in factories. It is argued here that when the state intervenes in the factory only to protect and preserve capitalists’ interests, explicitly and implicitly, coercive strategies of control turn into extreme bullying on the shopfloor.

Political Agency, Oversight, and Bias: The Instrumental Value of Politicized Policymaking

We develop a theory of policymaking between an agent and an overseer, with a principal whose welfare is affected by agent-overseer interactions. The agent can increase the quality of policy outcomes through costly capacity investments. Oversight and agent bias jointly determine optimal agent capacity investments. We show that when oversight improves agent investment incentives the principal always benefits from an agent with biases opposite the overseer. Competing agent-overseer biases translate into higher quality policy outcomes than the principal could induce were she monitoring the agent. Effective oversight is necessary for these incentive effects. The results imply that political principals ought to consider the nature of the broader policymaking environment when appointing agents to make policy on their behalf and when designing managerial strategies aimed at motivating agents.

Evaluating animal models comprising direct and maternal effects associated with growth rates and the Kleiber ratio in Harnali sheep

Summary The present work evaluated animal models comprising direct and maternal effects to estimate (co)variance components and genetic parameters of growth rates and Kleiber ratio in Harnali sheep. The information on pedigree and targeted traits of 1862 lambs born to 144 sires and 591 dams was collected for the period from 1998 to 2018. The traits studied were average daily gain from birth to 3 months of age (ADG1), 3 months to 6 months of age (ADG2), and 6 months to 12 months of age (ADG3) and their corresponding Kleiber ratios as KR1, KR2 and KR3, respectively. The statistical methods included the general linear model for analyzing the effects of fixed factors and animal models for deriving variance components for targeted traits. According to best model evaluated on the basis of likelihood ratio test, the estimated direct heritability was low in magnitude and ranged from 0.04 to 0.14. Direct heritability estimates for ADG1, ADG2, ADG3, KR1, KR2 and KR3 were 0.06, 0.14, 0.05, 0.04, 0.11 and 0.05, respectively. The maternal genetic effects contributed (4–7%) significantly for ADG1, KR1 and KR2 traits. The genetic correlations ranged from −0.35 ± 0.11 (ADG1-KR2) to 0.98 ± 0.01 (ADG2-KR2 and ADG3-KR3) and phenotypic correlations ranged from −0.36 ± 0.02 to 0.98 ± 0.01 for ADG1-KR2 and ADG2-KR2, respectively. The significant maternal effects along with low levels of direct effects for average daily gain and Kleiber ratio at different age group should be considered while setting selection and managerial strategies to achieve anticipated growth rates in Harnali sheep.

Understanding Consumer Stockpiling during the COVID-19 Outbreak through the Theory of Planned Behavior

We use the theory of planned behavior (TPB) to investigate determinants of stockpiling behavior during the COVID-19 lockdown. We analyzed 518 responses to an online survey and used Partial Least Squares Path Modeling (PLS-PM) techniques to estimate relationships between variables. Negative attitude (perceived barriers) and others’ behavior (descriptive social norms) were revealed as significant predictors for both intention to over-purchase and the actual stockpiling behavior. The lack of significance obtained for perceived behavioral control (PBC) is also an important result, strengthening the evidence that factors’ contribution to TPB’s predictive power is strongly context-dependent, respectively that PBC is less relevant in settings dominated by uncertainty. The lack of significance is especially compelling when stockpiling behavior is regarded as deviant conduct from effective consumption. Our findings expand the understanding on the applicability of TPB and offer informed practical suggestions for improving managerial strategies, public and private ones, during extreme events when self-regulation and cognitive control are expedient but hard to achieve.