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Despite the use of plagiarism-checking software and current ethical guidelines in sport management journals, raising awareness of ethical concerns and potential risks of artificial intelligence (AI) applications is necessary. This paper discusses how AI affects ethical research and publishing and provides guidelines for sport management scholars to ensure quality and integrity of their research.

A comprehensive review and critical analysis of literature was performed to evaluate research ethics, potential risks, and guiding principles for the use of AI in research.

Ethical research guidelines for quantitative sport management research were proposed. The guidelines encompass seven principles for the proper use of AI and ethical conduct specific to the research methods, data analysis, and results, which would be challenging for AI to accurately replicate.

This study provides an original contribution to the field of sport management because numerous questions concerning ethics and AI have not been addressed until now. The guidelines are suitable for use by sport management scholars, concerning the accuracy, validity, and quality of research while mitigating ethical risks in AI-generated content.

This paper aims to determine if single-item (SI) needs' and values' measures have similar reliability and validity values to multi-item (MI) measures of the same constructs and thus could be substituted by sport marketers to predict internal motivating aspects of sport consumer attitudes and behavior. In addition, the authors wish to determine whether a small subset of needs and values listed in current measures are sufficient to predict sport consumer attitudes and behavior.

In this two-study design, the first study was a national sample (N = 439) comparing reliability and validity of single-item scales to multi-item scales. In the second study the authors collected data from fans and spectators of four different teams (N1 = 583; N2 = 1164; N3 = 213; N4 = 404) to determine the impact of needs and values on sport consumer attitudes and behavior.

The authors determined that in 89% of the scales, single-item measures of needs and values were just as reliable and valid as their associated multi-item measures. The authors also found that a small subset of the needs and values explain a meaningful amount of variance in sport consumer attitudes and behaviors.

The authors determined that in 89% of the scales, single-item measures of needs and values were just as reliable and valid as their associated multi-item measures. The authors also found that a small subset of the needs and values explain a meaningful amount of variance in sport consumer attitudes and behaviors.

The authors show that as motives for sport consumption, single-item measures of personal needs and values are equivalent to multi-item measures and not all needs and values used in previous sport research are necessary because they do not predict a meaningful amount of variance in sport consumer attitudes and behaviors. The authors identified a small number of single-item measures that practitioners can easily use in short surveys that will predict a statistically meaningful amount of variance in sport consumer attitudes and behaviors.

Customer satisfaction is a tool for measuring providers’ service quality and may be evaluated based on measurement of perceived quality and customer expectations with respect to several aspects of service. The purpose of this study was to examine the relationships between various factors in the integrated model, including patient expectation (PE), total quality management (TQM), perceived service quality (PSQ), patient satisfaction (PS), patient complaint (PC) and patient loyalty (PL).

A self-administered questionnaire was distributed to inpatients who were treated in April 2018 at a tertiary-level hospital in Vietnam. The data set was analyzed using the Statistical Package of Social Sciences version 25.0 for descriptive statistics and AMOS 25.0 for structural equation modeling.

All hypotheses were supported by the results. TQM and PE positively influence PSQ; PE influences TQM; PE, PSQ and TQM influence PS; PC and PS influence PL; and PS influences PC.

These findings have implications for management, highlighting the importance of considering these factors in strategic planning aimed at improving customer satisfaction.

An integrated model was used to measure customer satisfaction and loyalty. The analyses indicate that TQM, PE and PSQ are the main factors that directly influence PS.

Finding specific information on the Web can be difficult and time‐consuming due to the Web’s tremendous size and the current speed of network connections. Information agents that search the Web on behalf of users are invaluable. Since information needs are diverse, there should be tools for users to build their own agents that specialize in finding the information they want. These tools should be usable by non‐programmers. This paper describes ARIS, a shell for constructing information agents without coding. Our approach is akin to expert system shells, where the user supplies the knowledge for each specialist agent, and a common engine utilizes the agents’ knowledge. An agent’s search is guided by knowledge about how Web sites in a given domain are typically structured. We also report on our experiences with two agents built using ARIS.

Presents a special issue, enlisting the help of the author’s students and colleagues, focusing on age, sex, colour and disability discrimination in America. Breaks the evidence down into manageable chunks, covering: age discrimination in the workplace; discrimination against African‐Americans; sex discrimination in the workplace; same sex sexual harassment; how to investigate and prove disability discrimination; sexual harassment in the military; when the main US job‐discrimination law applies to small companies; how to investigate and prove racial discrimination; developments concerning race discrimination in the workplace; developments concerning the Equal Pay Act; developments concerning discrimination against workers with HIV or AIDS; developments concerning discrimination based on refusal of family care leave; developments concerning discrimination against gay or lesbian employees; developments concerning discrimination based on colour; how to investigate and prove discrimination concerning based on colour; developments concerning the Equal Pay Act; using statistics in employment discrimination cases; race discrimination in the workplace; developments concerning gender discrimination in the workplace; discrimination in Japanese organizations in America; discrimination in the entertainment industry; discrimination in the utility industry; understanding and effectively managing national origin discrimination; how to investigate and prove hiring discrimination based on colour; and, finally, how to investigate sexual harassment in the workplace.

Outlines previous research on compensation schemes in situations of uncertainty and explores the effects of three different plans on managers’ output decisions. Discusses the role of flat salary, profit share, actual shares and share options in increasing goal congruity between the manager and the company, develops a mathematical model and applies it to three compensation schemes. Presents the results, which suggest that a basic profit sharing structure is best when the covariance factor between product price and firm valuation is negative; and the inclusion of stock options is best when the factor is positive.

The aim of this research was to investigate fans’ responses toward a sponsor that has had a long-standing sponsorship deal with a club and decided also to sponsor the club’s rival.

A long-term sponsorship deal between a retsina wine company and a popular football club and a newly established deal between the company and the main rival club were selected as the research setting. Data were collected from a total sample of 302 participants, fans of the two teams, using an online survey and PLS-SEM was employed to test the relationships of the proposed structural model.

The results provided evidence for the importance of the inclusion of perceptions of fit for both teams to the model as it impacted the responses in the joint sponsorship. Team identification emerged significant for improving fans perceptions of fit between the sponsor and their favorite club but also led fans of the long-term sponsored club to feel betrayed from the sponsor. The sense of betrayal impacted the level of fit, the rejection of sponsorship but did not emerge significant for driving negative responses toward the sponsor’s brand. The same held for the rejection of the joint sponsorship.

This is the very first study that incorporated the effects of the perceptions of fit of two rival clubs to test the effect of sponsorship for a sponsor brand of a deal that includes a longtime sponsored football club and its rival as a newly sponsored one. It is also one of the first attempts that explores relationships between perceptions of fit, sense of betrayal and rejection of a joint sport sponsorship in a rivalry context, highlighting the importance of preventing fans' betrayal.

Explains why financial analysts could find it useful to separate past earnings into discretionary accruals and earnings before discretionary accruals; referring to related research to develop hypotheses on the effects of both on the change in analysts’ earnings forecasts for the subsequent year. Tests these on a sample of 142 US manufacturing firms and presents the results which suggest that analysts do not decompose past earnings. Discusses three possible interpretations of the results and supports Sloan’s (1996) finding that the capital market does not seem to price accruals rationally.

The last two years are characterized by record numbers of initial public offerings (IPOs), foreign investor abstinence and rising retail investor appetite in the Turkish stock market. This study aims to investigate whether retail investor dominance coupled with foreign investor aversion has significant impact on initial and short-term returns.

The research covers the population of 188 companies going public at Borsa Istanbul from 2010 to the end of 2021. Three hypotheses are developed and tested by means of ordinary least squares and Tobit regressions to examine the association between investor allocations and returns. A new measure for retail investor trade size, average retail investment per capita (ARI) is utilized to explain the linkage between retail investor appetite and short-term returns. Two-stage least squares and Heckman selection regressions are employed for robustness tests to address potential endogeneity.

Pandemic IPOs provide significantly larger short-term returns than pre-pandemic IPOs measured up to one month. Underpricing during the pandemic is not significantly greater due to 10% daily price limit, which leads to a gradual release of retail investor appetite and increase in stock prices in the short term. Retail investors control 66% of the market during the pandemic compared to 35% before, while foreign institutional investor market share declines from 53% to 6%. Average retail investor number in an offering increases by 55.4-fold during the pandemic, resulting in substantially smaller allocations to the average individual investor. Greater returns during the pandemic are associated with smaller retail investment per capita, while domestic institutional investment is associated with lower returns as typically expected from institutional investors, although its significance disappears after controlling for potential endogeneity.

This study investigates returns up to one month. To better understand whether short-termism of retail investors and recent foreign investor aversion have detrimental effect on companies, and on the market as a whole, longer-term studies are needed. This is not possible at the current stage since not enough time has passed.

This research is relevant to emerging market investors and companies due to the ongoing foreign investor aversion and fast-changing market conditions. The research cautions market participants against the short-termism of retail investors and urges policymakers to regain investors with longer investment horizons.

Many newcomer retail investors are in the stock market due to lack of more profitable alternatives in Turkey. Although their participation is accompanied by larger short-term returns for the time being, the current momentum is unlikely to last long as the pandemic ends, and interest rates around the world begin to be raised. The study urges small investors to invest in a more informed manner and aim for longer time horizons, as it may not be possible to make a quick profit in the stock markets in the near future.

This is the first study to investigate changing investor profile in emerging markets and its impact on returns following pandemic declaration. The question is important because the investor composition affects the investment horizon in the market.

This study aims to propose and test a research framework for analyzing the relationship between new product development (NPD) best practices and performance in companies that belong to innovative industries in Brazil.

A quantitative survey was conducted, involving several industries, including agricultural machinery, automotive and pharmaceutical. Data was analyzed through multiple linear regression.

Among the best practices investigated, the main results show that “innovative culture” and “project climate” are factors that significantly affect the performance of the NPD.

The choice of best practices can be considered a major limitation of this study, as this is a dynamic concept depending on a continuous analysis that must take into account the economic and technological environment.

This study highlights a relationship between an innovative culture and performance. Some practices may be adopted to address an innovative culture, such as stimulating employee creativity, acceptance and partnership with external actors for the joint development of technologies and employee involvement with NPD.

The findings expand the debate on best practices in NPD and innovation management by presenting results on the topic in an emerging country, in this case, Brazil.