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A Bad Job of Doing Good: Does Corporate Transparency on a Country and Company Level Moderate Corporate Social Responsibility Effectiveness?
Numerous studies argue that corporate social responsibility (CSR) helps companies build strong and positive relationships with consumers. However, it is not well understood why certain companies are more effective in their CSR activities than others. Some studies have attributed this difference to the country setting, but results are inconclusive. Building on signalling theory, this study explores corporate transparency as a boundary condition of the effects of CSR activities on the consumer–brand relationship. Three experiments and one large survey across three countries examine how a lack of corporate transparency undermines firms’ CSR efforts. Importantly, the authors theorize that country environments differ in terms of transparency, which is then reflected in different levels of corporate transparency. Different country levels of transparency help explain the discrepancies of CSR effectiveness for increasing brand attachment and building consumer behaviour. Finally, the authors tie the diminishing effect of CSR in the case of low corporate transparency to an increase in consumer scepticism.
The dual-process model of product information and habit in influencing consumers purchase intention: The role of live streaming features
The increasing popularity of live streaming commerce has presented opportunity for sellers to generate revenue. Despite the obvious advantages of live streaming commerce offers reduced product uncertainty and encourages usage habit formation, studies have overlooked their effect on consumers purchase intention. On the basis of dual-process theory, this study proposes a research model with information signals mechanism and automatic habit mechanism. An online survey with 401 samples from several live streaming platforms is conducted to measure our model. Our results show that uncertainties in product quality and product fit have a significant negative influence on the purchase intention, while automatic habit is positively associated with the purchase intention. The result also indicates that habit moderates the relationship between product quality uncertainty and purchase intention. In addition, live streaming features can activate the two mechanisms. Our findings contribute to research by highlighting the importance of product information and habit.
Is “Insurance & Futures” a Closed-Loop Tool to Manage the Agricultural Commodity Market Risk?: Evidence from Pricing Mechanisms and Risk Exposures
This study presents the first empirical evidence on the risk management effect of “Insurance & Futures” with a focus on pricing mechanisms and risk exposures. The results show that: i) “Insurance & Futures” is not a zero-sum game. Positive-sum outcomes occur under the scenario when price declines at low volatility; ii) The “Insurance & Futures” premium is a monotonically increasing function of volatility. Spread option and barrier option which are less sensitive to increasing volatility, are regarded as conservative choices in extreme scenarios; iii) Low-volatility and high-standardization commodities are more likely to realize a closed-loop risk management using “Insurance & Futures”, which are attributed to less hedging risk and basic risk. It is a very important contribution to optimizing China’s ongoing trial implementation for “Insurance & Futures” and driving its sustainability.
Top Management Team’s Experience and Corporate Risk-Taking Ability
The study selects non-financial listed companies in A-shares stock markets between 2012 and 2019 in China as research samples, and studies the influence and influence mechanism of TMT’s experience on corporate risk-taking ability with the help of techniques such as web crawler and NLP. It is found that the richer the TMT’s experience is, the stronger the ability of corporate risk-taking is, but the heterogeneity of TMT’s experience shows a negative effect on corporate risk-taking ability. Meanwhile, the sharing of TMT’s experience has a positive effect. In addition, decision-making capacity and resource acquisition play significant mediating effect in the influence of TMT’s experience on corporate risk-taking ability.
Challenge or Threat? Exploring the Dual Effects of Temporal Social Comparison on Employee Workplace Coping Behaviors
The extant literature has indicated that comparison with high-performers could lead to negative emotions and behaviors among colleagues (including superiors). In contrast, other researchers also demonstrated that comparison can effectively motivate low-performance employees to work hard. In this study, we apply the temporal dimension to social comparison to explore how temporal social comparison influences the actor’s coping behaviors. A scenario experiment and a three-wave questionnaire survey study show that the performance temporal social comparison (PTSC) can lead to the actor’s social undermining towards the target (leveling-down) and effectively promote the actor’s self-improvement (leveling-up) simultaneously. Based on the cognitive appraisal theory of stress, we have further tested the significant mediating effects of challenge/hindrance stress. We also find that the actor’s general self-efficacy is an essential individual characteristic that affects stress perceptions and moderates the indirect effects of PSTC on different coping behaviors. Overall, our findings enrich the social comparisons theory development and provide critical managerial implications for high-potential talent management.
Testing at the Source: Analytics-Enabled Risk-Based Sampling of Food Supply Chains in China
This paper illustrates how supply chain (SC) analytics could provide strategic and operational insights to evaluate the risk-based allocation of regulatory resources in food SCs, for management of food safety and adulteration risks. This paper leverages data on 89,970 tests of aquatic products extracted from a self-constructed data set of 2.6 million food safety tests conducted by the China Food and Drug Administration (CFDA) organizations. The integrated and structured data set is used to conduct innovative analysis that identifies the sources of adulteration risks in China’s food SCs and contrasts them with the current test resource allocations of the CFDA. The analysis highlights multiple strategic insights. Particularly, it suggests potential gaps in the current CFDA testing allocation by SC location, which is heavily focused on retail and supermarkets. Instead, the analysis indicates that high-risk parts of the SC, such as wholesale and wet markets, are under sampled. Additionally, the paper highlights the impact that SC analytics could have on policy-level operational decision making to regulate food SCs and manage food safety. The hope is that the paper will stimulate the interest of academics with expertise in these areas to conduct more work in this important application domain.