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The purpose of this paper is to establish the optimal decision-making style in a fast-paced, complex, and dynamic environment.

Three decision-making attributes are explored: the use of intuition vs analysis, the proclivity to heuristics, and susceptibility to bias. The intuition/analysis is tested with a questionnaire that has been validated in prior research, while information on the two other dimensions is from an exploratory survey designed for this purpose. Responses to the survey questions provide some insight into the differential decision-making style of elite NHL hockey coaches’ vis-à-vis amateur coaches and news reporters.

The data suggest elite decision makers have no preference for intuitive or analytical settings, but exhibit a significantly higher perception of their ability to perform in both. While current literature shows sports athletes to be more intuitive, it appears coaches excel on the analytical dimension instead. This study finds that while elite hockey coaches have fewer biases overall, they tend in particular to be overly optimistic in comparison to amateur coaches and news reporters.

The main limitation in this paper is that the survey on heuristics and biases is exploratory, making these results less robust than the findings on intuition and analysis.

This paper is first to extend the decision-making literature to coaches, and among few papers that obtain insights from NHL coaches directly. The findings are likely to extend to corporate leadership as well, increasing the relevance of the results.

Motivated by recent studies that demonstrate the superiority of the Global Industry Classification System (GICS) relative to the Standard Industry Classification (SIC) system in capital market research, the authors revisit the stock market anomaly documented by Thomas and Zhang (TZ) (“Overreaction to intra-industry information transfers?” Journal of Accounting Research, Vol. 46, pp. 909-940) and analyze whether the anomaly based on SIC remains evident when intra-industry information transfers are based on the GICS. The paper aims to discuss these issues.

The authors first replicate TZ and test whether stock prices of late announcers in response to earnings reported by early announcers in the same SIC industry are significantly related to subsequent price responses of late announcers to their own earnings reports. In the multivariate setting, the authors then evaluate whether the magnitude and significance of the overreaction anomaly changes under the more comprehensive GICS and across different time periods.

The authors first confirm the over-reaction anomaly based on SIC as documented by TZ. Utilizing a larger sample of firms based on the GICS and extending TZ for a new time period, the authors then demonstrate that the overreaction anomaly disappears during recent years, a period that is characterized by markedly higher trading activity.

The findings provide new insights and contributions to the debate on whether or not market significantly misprices information transfers.

The authors are first to utilize the GICS in evaluating intra-industry information transfers.

The purpose of this paper is to examine the effect of transformational leadership – broadly defined as an individual who is visionary, innovative, inspirational and sensitive to the needs of followers – on the level of organizational resiliency.

This study employs multiple hierarchical regression analysis to test the causal relationship between transformational leadership and organizational resiliency by utilizing 112 respondents working in emergency management departments of local governments, fire and police stations, and nonprofit organizations in the Southeastern Economic Region of South Korea.

The results of the analysis indicate that transformational leadership style has a positive and statistically significant effect on perceived organizational resiliency. The findings also indicate that elected officials such as mayors are more likely to focus on building organizational resiliency than appointed officials and nonprofit leaders.

This study fills the gap of the current literature in the field of emergency management by establishing empirical evidence of the need to identify leaders with transformational traits in order to build a resilient organization, which can better respond and adapt to a catastrophic event in the Asian context.

The purpose of this paper is to advance critical theoretical insights into the idea of “relational bureaucratic leadership” and its implications for public administration in developing countries (DCs). In doing so, the paper sets out new agendas for public service governance in DCs that recognizes the changing nature and emerging complexities of both the public service and society.

This is an exploratory study which synthesises literature in management, human resources, leadership studies and public administration, to understand the limitations of mainstream approaches to bureaucratic leadership in DCs, particularly SSA, with a view of identifying alternative practices.

Findings from this paper suggest that public service governance in DCs are embedded in complex dynamics between power relations, complexity and social norms, and bureaucratic leaders should, therefore, focus on building relationships as a means of deepening trust and enhancing cooperation among critical actors. The case for a shift in focus to “relationality” reflects changes in the broader global political economy, including emerging wicked and multi-faceted policy problems that require heterodox and context-sensitive responses from governments and greater collaboration among key stakeholders.

The analysis of the limitations of traditional approaches to public service governance in this essay reveals the importance of a shift from a preoccupation with conventional organizational forms and functions, to place greater emphasis on social networks and relationships, as a way of improving leadership efficiency in the public services of DCs.

The purpose of this paper is to introduce a novel technique for printing with multiple materials using the DLP method. Digital-light-processing (DLP) printing uses a digital projector to selectively cure a full layer of resin using a mask image. One of the challenges with DLP printing is the difficulty of incorporating multiple materials within the same part. As the part is cured within a liquid basin, resin switching introduces issues of cross-contamination and significantly increased print time.

The material handling challenges are investigated and addressed by taking inspiration from automated storage and retrieval systems and using an active cleaning solution. The material tower is a compact design to facilitate the storage and retrieval of different materials during the printing process. A spray mechanism is used for actively cleaning excess resin from the part between material changes.

Challenges encountered within the multi-material DLP technology are addressed and the experimental prototype validates the proposed solution. The system has a cleaning effectiveness of over 90 per cent in 15 s with the build area of 72 inches, in contrast to the previous work of 50 per cent cleaning effectiveness in 2 min with only 6 inches build area. The method can also hold more materials than the previous work.

The techniques from automated storage and retrieval system is applied to develop a storage system so that the time complexity of swapping is reduced from linear to constant. The whole system is sustainable and scalable by using a spraying mechanism. The design of the printer is modular and highly customizable, and the material waste for build materials and cleaning solution is minimized.

This paper takes a structured literature review (SLR) approach to identify gaps in the literature and suggest future research opportunities. It focuses on corporate governance (CG) performed outside the formal board of directors’ structure and examines research of alternative CG of small and medium-sized entities (SMEs).

The authors use the SLR method to search the Scopus database, extracting and synthesising findings relating specifically to SMEs’ CG. These are tabulated and described using bibliometric software.

The authors highlight an absence of tailored theoretical approaches to understanding CG in SMEs, which differs from the governance of larger entities. They also find evidence of alternative governance structures in SME CG.

Further research should embrace management and other theoretical perspectives and expanded methodologies, nuances in understanding offered in contextualised settings and awareness of practical implications to better understand the specific setting of CG in SMEs.

SMEs seek to access the scarce resources and skills external to their formal CG structures. Regulators and resource providers should mobilise facilitation and training for this expansion.

The authors synthesise a large body of literature to extract findings specific to SMEs. A unique contribution is our focus on alternative forms of CG in SMEs. Evidence of alternative boards points to resolutions for human capital shortages in SMEs.

In this work, we estimated the impact that the US VIX, economic policy and epidemic uncertainty indexes had on leisure and recreation stocks. We extended the current literature in two ways: first, we estimated the smoothed probabilities of being in ‘normal’ ( s = 1 ), ‘distress’ ( s = 2 ) and ‘crisis’ ( s = 3 ) episodes in the Refinitiv global leisure and recreation index. Then, we estimated the influence that the VIX and uncertainty indexes had on the generation of distress and crisis episodes in these stocks. By using logit regressions, we found out that only the US Economic policy uncertainty index is a detonator of distress and crisis episodes. We also found that the pandemic (COVID-19) news uncertainty has no significant and direct influence on the smoothed probabilities. Finally, and complementary to the current literature, we found that the volatility spillover effect from the S&P 500 to these stocks generates extreme volatility (crisis) episodes. Our results could be of use for practitioners and scholars and could provide a model to forecast distress and crisis episodes among leisure and recreation stocks. This model could be used for potential portfolio management or economic (tourism) policy purposes.

The purpose of this paper is to examine the use of social media and its impact on information search, communication with a company, and purchase and re-purchases of products and services. Using use and gratification theory as a starting point, it also examines the impact of satisfaction of use of social media in the process of purchasing and re-purchasing products and services.

An online survey was conducted with 444 participants, and the data were analyzed using the partial least squares structural equation modeling technique to observe the effects between the variables of social media use, search information, communication with the company, purchase, re-purchase and satisfaction of use of social media.

The results reflect how the use of social media generates significant rewards that significantly impact the search for information and the communication with the company. The data also show how communication with the company has an impact on the purchase and re-purchase of products and services. Finally, it was empirically confirmed that the gratification received by users through social media use impacts satisfaction with social media use.

The results contribute to how social media impacts alternative evaluations through the gratification of user needs, resulting in motives and behaviors leading to the purchase of goods and services, as established by Use and Gratification Theory. In its contributions to the Academy, Use and Gratification Theory (U&G) explains why individuals use and share information using social media. First, it justifies the purchase and re-purchase of products and services due to user satisfaction according to users’ experience using social media. Second, it presents a vision of how the use of social media is a significantly important result in the gratification of consumer needs.