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This study aims to investigate the impact of geopolitical risk (GPR) on supply chain concentration (SCC) and the roles of operational capabilities and resources in this relationship.

Secondary longitudinal data from multiple sources is collected and combined to test for a direct impact of GPR on SCC. We further examine the moderating effects of firms’ operational capabilities and resources (i.e. firm resilience, operational slack and cash holding). Fixed-effect regression models are applied to test the hypotheses, followed by a series of robustness tests to check the consistency of the results.

Consistent with the tenets of resource dependence theory, our analysis reveals a significant negative impact of GPR on SCC. Moreover, we find that this adverse effect is attenuated for firms with higher levels of resilience, more operational slack and greater cash holdings. Further analysis suggests that maintaining a diversified supply chain base during heightened GPR is associated with a firm’s improved financial performance.

This study contributes to the supply chain management (SCM) literature by integrating GPR into the supply chain risk management framework. Additionally, it demonstrates the roles of diversification and operational resources in addressing GPR-induced challenges.

Customer satisfaction (CS) is a key factor in maintaining customer relations and achieving corporate success. This paper aims to empirically investigate the value relevance of CS accounting for corporate performance (CP) of top global brands worldwide.

A sample of top 100 global brands located in different countries and operating over various industries is examined for a period of three years comprising 2020 till 2022. A quantitative research methodology is used for conducting content analysis of companies’ annual reports and carrying out ordinary least squares multiple regression tests using different financial and market measures, as proxies for CP.

Results show that CS can significantly enhance CP. Findings indicate a significant positive association of current and lagged CS with both profitability and market value, thereby documenting consistent evidence in a global market setting.

The study provides an aggregate picture of the value relevance of CS while a disaggregated view across different industries can reveal deeper insights. However, the study has important implications for corporate executives, investors, accountants and standard setters, offering global insights that appreciate CS for improving CP and creating value for businesses. It helps in understanding customers preferences, designing corporate policies and strategies, predicting CP, developing alternative methods of CS measurement and reporting and recommending possible accounting treatments.

This study adds to the relatively limited literature on the potential contribution of CS within the accounting literature. It extends the scope of prior research by documenting quantitative empirical evidence of the value relevance of CS for CP of top global brands, using different financial and market measures. It provides international insights into a global market setting, in which diversity is inherent and competition is fierce. Hence, the study largely contributes to resolving existing debate by documenting consistent objective evidence over a wide regional diversity using various indicators.

This study aims to theoretically hypothesize and empirically examine the impact of economic policy uncertainty (EPU) on firms' innovation performance as well as the contingency conditions of this relationship.

This study collects and combines secondary longitudinal data from multiple sources to test for a direct impact of EPU on firms' innovation performance. It further examines the moderating effects of firms' operational and marketing capabilities. A series of robustness checks are performed to ensure the consistency of the findings.

In contrast to the common belief that EPU reduces the innovativeness of firms, the authors find an inverted-U relationship between EPU and innovation performance, indicating that a moderate level of EPU actually promotes innovation. Further analysis suggests that firms' operational and marketing capabilities make the inverted-U relationship steeper, further enhancing firms' innovation performance at a moderate level of EPU.

This study adds to the emerging literature that investigates the operational implications of EPU, which enhances our understanding of the potential bright side of EPU and broadens the scope of operational risk management.

In this research, we empirically examine the impact of Business Intelligence (BI) systems on operational capability in high-tech sectors. We also seek to understand the contextual factors that facilitate the adoption of BI systems.

We adopt Propensity Score Matching (PSM) and event study methodology, and analyze the financial data for a sample of 144 US firms which adopted BI systems from 2005–2014, and compare them to control firms without BI systems.

We find that the implementation of BI systems leads to higher operational capability, particularly for large high-tech firms with high technology intensity. We further show that technology intensity and firm size are important contextual factors for firms to reap the benefits of BI systems.

We demonstrate how benefits from the adoption of BI systems are likely to be strengthened. The benefits of BI systems depend on firms' technology intensity and firm size of high-tech firms. Accessing relevant and timely reports for decision-making is particularly important in the highly dynamic, volatile and competitive high-tech sectors.

We contribute to the literature by providing empirical evidence that the adoption of BI systems can improve firms' operational capability and show that technology intensity and firm size are important contextual factors for firms to reap the benefits of BI systems. We advance the understanding regarding the contextual factors in which firms are more likely to gain additional benefits from their adoptions of BI systems.

The purpose of this paper is to explore the learning outcomes of students and the importance of research supervisors in writing research.

A questionnaire covering three dimensions: (A) skill set, (B) course arrangement, and (C) supervisor guidance was distributed to research students in Hong Kong and Chengdu, China, to examine their perceptions of a research module.

The regression results presented in this paper suggest that clear expectations of the course and the communication skills of supervisors or peers can explain around 20-30 percent of the change in the dependent variables of “awareness of using strategies to learn effectively,” “building self-confidence” and “quality of interaction.” With regard to the learning outcomes of students, the skills of using various resources, writing literature reviews and communication skills were perceived as being very important. For research supervisors, the quality of interaction, research experience and being approachable were all identified as being important.

The management of higher educational institutes could consider these findings when designing research curricula and selecting research supervisors so as to enhance learning outcomes.

The paper details learning outcomes from supervisors of writing research, which is important for the educational sector and the business world.

Many manufacturers are considering the just‐in‐time (JIT) philosophy in order to become more competitive in global markets. An important element of the JIT strategy is the purchasing function. The procurement of parts and materials plays a key role in the successful implementation of a JIT strategy because it has a direct impact on increased productivity, reduced costs and improved quality. Experts agree that supplier selection is one of the most important activities of purchasing. Three popular methods for supplier performance evaluation appear in the literature: categorical, weighted point and cost ratio. However, these techniques have disadvantages associated with them and an alternative approach is suggested which applies dimensional analysis to selecting prospective suppliers. An international purchasing office (IPO), located in Hong Kong, has been applying the dimensional analysis approach to assessing suppliers. Using the IPO as a case study, the benefits of this approach over the traditional assessment methods are discussed, both as a means of measuring not only supplier performance, but also the contribution to the purchasing relationship from the buyer organisation.

The fund selection process of investors in a mutual fund needs to be understood for designing better marketing strategies. Knowledge and perception about the mutual funds can affect investor’s behaviour towards information search and selection criteria during the decision process. Therefore, this study aims to examine Indian mutual fund investors under the framework of Theory of Planned Behaviour and consumer’s behaviour model.

The data have been collected from mutual fund investors in the National Capital Region–Delhi, India, through structured questionnaire. The collected data were examined with relevant statistical tools.

Knowledge and perception affect information search behaviour of the investor. Investors having better knowledge of mutual funds access impersonal sources of information and performance of fund affects their choice, whereas investors having lesser knowledge of mutual fund take advice of experts and select funds based on fund characteristics. Investors with better return perception for mutual funds ignore performance as selection criteria, whereas investors having poor risk perception tend to reduce their bias by accessing personal sources of information. Education and income of investor affect knowledge and perception of mutual funds.

The financial advisor-driven investors ignore performance as selection criteria and could lead to dissatisfaction later. Therefore, to make the industry investor driven, mutual funds need to focus on improving the knowledge of investors.

This paper shows the unique effect of knowledge and perception on information search behaviour of investors towards mutual funds. The knowledgeable investor selects mutual funds by understanding all risks and benefits.