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This study aims to examine the influence of a sports-related accident and its severity on sponsorship effects, including brand recognition, attitude toward the sponsoring brand and purchase intention.

The fear appeal theory and sensation-seeking are applied as a theoretical framework. The research is carried out via an experiment using auto racing video footage and print material that manipulates the severity of accidents at three levels – no accident, an accident with a minor injury and an accident resulting in a fatality.

The analyses demonstrate that the severity of the accident elicits varying sponsorship effects. Sponsorship effects are maximized in a minor injury condition, while smaller sponsorship effects are garnered in the absence of an accident or during fatal injury conditions, as expected via the fear appeal theory. These results suggest that sports fans are excited by auto racing crashes, but are averse to witnessing a fatal accident.

The participants of the experiment were all students. Consequently, the participants did not represent all sports fans. Only auto racing was examined as experiment stimuli. Different demographic characteristics (e.g. age, race, nationality) and sports could differently influence the relationships among the research variables.

Potential sponsors do not need to take a negative view of the dangers of sports accidents. Rather, it is recommended that such companies actively plan their sponsorship activities with the appropriate strategy.

The relationship between the severity of a sports-related accident and sponsorship effects has received little attention regarding its potential impact on brand recognition, attitude toward the sponsoring brand and purchase intention. The current study is the first known empirical research using the fear appeal theory in sports sponsorship. It investigates the severity of a sports-related accident and determines how that severity influences sponsorship effects in auto racing. This study provides a better understanding of the effects of an accident and its severity on sponsorship effects.

The purpose of this study is to propose a conceptual model for identifying the factors of e-service quality (e-SQ) and for investigating the impact of team identification, e-SQ and satisfaction on behavioural intention to revisit sports websites. The proposed conceptual framework includes five service quality factors of sports websites (usability, privacy, reliability, information, appearance). Based on the previous literature in the areas of e-SQ and team identification, this study attempts to develop a model to better understand the relationships between each construct. The Structural Equation Modelling (SEM) results with a convenience sample of 409 college students reveal that team identification has a positive and significant effect on e-SQ, satisfaction and revisitation. In addition, satisfaction is found to be a mediator between e-SQ and revisitation.

The purpose of this study was to examine purchasing intentions in online sports ticketing websites. Based on previous research related to business-to-consumer (B2C) e-commerce, this study developed a conceptual model to test the effect of perceived risk, trust and the Technology Acceptance Model (TAM) on purchase intentions in online secondary ticket websites. College students (N = 251) from the northeastern region of the United States were chosen as the sample. Structural Equation Modeling (SEM) was used to investigate the proposed relationships among four major components (i.e. perceived risk, trust, TAM and behavioural intention). The results showed that there were positive effects of key TAM constructs (i.e. perceived usefulness and ease of use) and trust on purchasing intention, but perceived risk was not a significant indicator of purchase intention.

The purpose of this paper is to explore the dynamics of an online community by examining its participants’ centrality measures: degree, closeness, and the betweenness centrality. Each centrality measure shows the different roles and positions of an individual participant within an online community. To be specific, this research examines how an individual participant’s role and position affects her/his information sharing activities within an online community over time. Additionally, it investigates the differences between two different online communities (a personal interest focussed community and a social interest focussed community), in terms of the interaction patterns of participants.

For this research, the authors collected log files from Korean online discussion communities (café.naver.com) using a crawler program. A social network analysis was used to explore the interaction patterns of participants and calculate the centrality measures of individual participants. Time series cross-sectional analysis was used to analyze the effects of the roles and the positions on their information sharing activities in a longitudinal setting.

The results of this research showed that all three centrality measures of an individual participant in previous time periods positively influenced his/her information sharing activity in the current periods. In addition, this research found that, depending on the nature of the discussion issues, the participants showed different interaction patterns. Throughout this research, the authors explored the interaction patterns of individual participants by using a network variable, the centrality, within a large online community, and found that the interaction patterns provided strong impact on their information sharing activities in the following months.

To investigate the changes of participant’s behaviors, this study simply relies on the numbers of comments received and posted without considering the contents of the comments. Future studies might need to analyze the contents of the comments exchanged between participants, as well as the social network among participants.

Online communities have developed to take a more active role in inviting public opinions and promoting discussion about various socio-economic issues. Governments and companies need to understand the dynamics which are created by the interactions among many participants. This study offers them a framework for analyzing the dynamics of large online communities. Furthermore, it helps them to respond to online communities in the right way and in the right time.

Online communities do not merely function as a platform for the free exchange and sharing of personal information and knowledge, but also as a social network that exerts massive influence in various parts of society including politics, economy, and culture. Now online communities become playing an important role in our society. By examining communication or interaction behaviors of individual participants, this study tries to understand how the online communities are evolved over time.

In the area of online communities, many previous studies have relied on the subjective data, like participant’s perception data, in a particular time by using survey or interview. However, this study explores the dynamics of online communities by analyzing the vast amount of data accumulated in online communities.

From 1953 to 1961, the South Korean economy grew slowly; the average per capita GNP growth was a mere percent, amounting to less than $100 in 1961. Few people, therefore, look for the sources of later dynamism in this period. As Kyung Cho Chung (1956:225) wrote in the mid‐1950s: “[South Korea] faces grave economic difficulties. The limitations imposed by the Japanese have been succeeded by the division of the country, the general destruction incurred by the Korean War, and the attendant dislocation of the population, which has further disorganized the economy” (see also McCune 1956:191–192). T.R. Fehrenbach (1963:37), in his widely read book on the Korean War, prognosticated: “By themselves, the two halves [of Korea] might possibly build a viable economy by the year 2000, certainly not sooner.”

The purpose of this paper is to develop a context dependent, multi perspective multilevel trust measurement instrument to measure supply chain members' trust.

Since trust is a context dependent phenomenon and the level of trust between partners cannot be measured easily, a conceptual framework is developed to measure supply chain partners' trust from risk perspective (i.e. risk related to characteristics, rational and institutions/security) considering the relationship as “Risky”, “Risk‐worthy” and “Not risky” and translated them in terms of trust perspectives as “No trust”, “Trust worthy” and “Trust”.

Although the research on trust emphasizes to focus on a member's characteristics such as benevolence, integrity, ability, reliability, credibility, etc, decision to trust require multiple judgments therefore trust should be measured from various context dependent perspectives at multiple levels in relationship from trustor's perceptions and calculations. The key perspectives of trust in supply chain relationship are; characteristics trust, rational trust (cost and benefit, dynamic capabilities, technology) and institutional trust/security system. An important argument of this concept is that trust can only be dyadic.

Researchers on trust have repeatedly confirmed that trust is a multifaceted and context dependent concept. However the business context may not remain the same in the dynamic business environment, therefore this conceptual framework can be used as generalized trust measurement tool.

This paper has attempted to develop a simple and practical multi level trust measurement tool for the complex multi‐dimensional construct of supply chain partners' relationship trust.

This study may be one of the first to develop a multi level trust measurement concept from risk perspectives.

Ground vibration testing (GVT) results can be used as system parameters for predicting flutter, which is essential for aeroelastic clearance. This paper aims to compute GVT-based flutter in time domain, using unsteady air loads by matrix polynomial approximations.

The experimental parameters, namely, frequencies and mode shapes are interpolated to build an equivalent finite element model. The unsteady aerodynamic forces extracted from MSC NASTRAN are approximated using matrix polynomial approximations. The system matrices are condensed to the required shaker location points to build an aeroelastic reduced order state space model in SIMULINK.

The computed aerodynamic forces are successfully reduced to few input locations (optimal) for flutter simulation on unknown structural system (where stiffness and mass are not known) through a case study. It is demonstrated that GVT data and the computed unsteady aerodynamic forces of a system are adequate to represent its aeroelastic behaviour.

Airforce of every nation continuously upgrades its fleet with advanced weapon systems (stores), which demands aeroelastic flutter clearance. As the original equipment manufacturers does not provide the design data (stiffness and mass) to its customers, a new methodology to build an aeroelastic system of unknown aircraft is devised.

A hybrid approach is proposed, involving GVT data to build an aeroelastic state space system, using rationally approximated air loads (matrix polynomial approximations) computed on a virtual FE model for ground flutter simulation.

The purpose of this study is to examine households’ behavior towards dirty cooking energy utilisation in an environment where relatively higher accessibility to clean energy is noted. Although the low utilisation rate of clean energy can partly be attributed to utility gains anticipated in dirty energy mixes (DEMs) arising out of accessibility constraints, affordances and enablers, it is still unclear on the extend at which each of these contributes towards DEMs manifestation among the seemingly well-to-do households with higher levels of clean energy mixes (CEM) access. This study, therefore, hinges on scrutinising on this lower utilisation patterns despite a seemingly higher accessibility of CEMs, specifically liquified petroleum gases (LPG).

The study is based on a household’s survey that was carried out in 2018, reaching a sample of 393 households using questionnaires in four wards of the Kigamboni district in Tanzania. Subsequent analyses were descriptive as well as inferential based on binary logistic regression analysis where utilisation of DEMs was predicted for both the high and low social economic status (SES) households by incorporating accessibility constraints, affordances and enablers.

The results show, first, if one assumes energy stacking is not an issue, as households become more constrained towards CEMs utilisation, they shift towards DEMs suggesting that the overall effect is a substitution, and second, the complementarity effect ultimately outweighs the substitution effect as households do not shift from DEMs to CEMs rather stack multiple energy. DEMs flourish in this case study area because those with high income are among those in the lowest SES, and some of those with the highest SES are from among the lowest income category, and all of them end up with more DEMs because shifting towards CEMs require income to complement SES.

Policy-wise, removing hurdles in accessing CEMs such as LPG subsidy programme, gas stove provision to the poor, and enhanced LPG awareness will most likely benefits only those who do not stack energy in cooking while strategies targeting those at the lowest SES such as higher education attainment, empower women as a family decision maker, encourage co-occupancy to enlarge the household size and contain urban growth within certain perimeter will have a significant impact only if they raise both incomes and SES.

Despite of the dominance of DEMs for cooking such as charcoal and firewood in Tanzania, CEMs such as LPG, have emerged as complements or alternatives in the household energy basket. The utilisation of such CEMs is, however, still very low despite the accessibility, cost, environmental and health advantages they offer. Accessibility is not the only factor fuelling CEMs; a complementarity must exist between SES and income for the positive transition towards CEMs to be realised.

The COVID-19 pandemic forced many employees to work from home, resulting in new demands that might cause older workers to reevaluate their retirement decisions. Building on the extended Job Demands-Resources model, which explains work-related outcomes in times of crisis, this study investigated the change in older workers’ intention to continue working during COVID-19 and the role of ICT-related strain and social support during teleworking.

A two-wave longitudinal study was conducted among 1,406 older workers (i.e. 50 years or older). Data were collected before the COVID-19 pandemic (2019: T1) and during the pandemic (2021: T2). In total, 967 older workers completed the survey at both waves.

Older workers’ nearing retirement experienced a decline in intentions to continue working during the pandemic, while intentions of older workers further away from their retirement increased. At T2, the negative relationship between telework intensity and the intention to continue working was mediated by ICT-related strain. Perceived social support at work seems to buffer the negative impact of telework intensity on ICT-related strain.

This study provides valuable insights into factors that may stimulate older workers' workforce participation by investigating effects of ICT-related strain and social support during telework. Organizations can implement interventions that enhance job resources and reduce job demands during telework to help mitigate ICT-related strain and postpone retirement.

Drawing upon psychological ownership theory, the aim of this study was to uncover the coexisting mediating effects of knowledge sharing and hiding on the relationship between employees’ organizational psychological ownership (OPO) and their innovative work behavior (IWB). The moderating role of organizational context in these mediating relationships was further examined to determine the moderated mediation paths.

This study mainly used a survey-based research method and collected data from 512 professionals from both public and private organizations in Pakistan to test our proposed hypotheses.

The results showed that coexisting knowledge sharing and hiding mediated the relationship between employees’ OPO and IWB. Furthermore, organizational context moderated the mediated relationships, providing support for the moderated mediation framework.

The results highlight the significance of fostering employees’ OPO to enhance their IWB by promoting knowledge sharing and preventing knowledge hiding. This study also urges managers to consider the contingency effect of organizational contexts when promoting employees’ IWB in emerging economies.

The results obtained in this study suggest that the knowledge behavior paradox occurs in organizations, and distinct organizational contexts play crucial but differential roles in intervening in the effect of employees’ OPO on their IWB. This study empirically validated this complex mechanism in an important emerging economy in Asia.