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The purpose of this paper is to investigate National Hockey League (NHL) expansion draft decisions to measure divestment aversion and endowment effects, and analyze bias and its affect on presumed rational analytic decision making.

A natural experiment with three variables (age, minutes played and presence of a prior relationship with a team’s management), filtered athletes that were exposed or protected to selection. A machine learning algorithm trained on a group of 17 teams was applied to the remaining 13 teams.

Athletes with pre-existing management relationships were 1.7 times more likely to be protected. Athletes playing fewer relative position minutes were less likely to be protected, as were older athletes. Athlete selection was predominantly determined by time on ice.

This represents a single set of independent decisions using publicly available data absent of context. The results may not be generalizable beyond the NHL or sport.

The research confirms the affect of prior relationships on decision making and provides further evidence of measurable sub-optimal decision making.

Decision making has implications throughout human resources and impacts competitiveness and productivity. This adds to the need for managers to recognize and implement de-biasing in areas such as hiring, performance appraisal and downsizing.

This natural experiment involving high-stakes decision makers confirms bias in a setting that has been dominated by students, low stakes or artificial settings.

The purpose of this paper is to examine the effect of order on the quality of outcomes when making sequential decisions and test the widely‐held belief that choosing earlier is preferable and results in better outcomes than choosing later.

Quantitative performance from the sequence of athletic decisions made by the teams of the National Hockey League (NHL) at the annual amateur entry draft is longitudinally analyzed using a participation threshold of 160 games.

Analysis indicates that earlier choice does result in outcomes that are significantly and substantially better but that this effect is muted beyond approximately the first 100 decisions, after which there is no discernable advantage.

The dichotomous performance measure excludes more qualitative or stratified assessments of performance and does not include context of the individual decision choices. The results may not generalize beyond the National Hockey League or other human resource situations.

The research suggests that sequential decision processes are suboptimal in the presence of large amounts of information and choice. Recommendations include reallocating the amount of confirmatory attention spent on highly‐ranked candidates.

The paper exposes limitations to the widely‐held belief that choosing earlier is preferable to choosing later.

This study aims to examine the influence of the three dimensions of travel agents’ manager competencies – ability, motivation and opportunity seeking – on knowledge transfer and travel agents’ performance. In addition, the study investigates how employee’s absorptive capacity moderates the effects of managers’ competencies on knowledge received by the employees and moderates the effects of knowledge received by the employees on travel agents’ performance.

A positivist research philosophy was adopted with a quantitative approach, in which quantitative data were gathered based on questionnaires to tackle different stages of the study. To test the hypotheses, a self-administrated face-to-face survey of about 42 questions, launched on November 7, 2016, was used to compile response from top and medium management Category A travel agents operating in Egypt.

Based on a sample of 577 travel agents’ frontline employees, the results showed that the three dimensions of travel agents’ competencies have a positive effect on knowledge received by the employee. Findings further indicated that knowledge received by employee mediates the link between these three competencies and travel agents’ performance. The link between the competencies and knowledge received by the employee was found to be positively moderated by employee absorptive capacity. Moreover, these findings suggested that the relationship between knowledge received and travel agents’ performance is stronger when employees’ absorptive capacity is greater.

This study is bound by certain limitations that also provide fertile grounds for further research. First, the study examined how an employee’s absorptive capacity moderates the effects of managers’ competencies on knowledge received by the employees and moderates the effects of knowledge received by the employees on travel agents’ performance. However, innovation as a dependent variable can be investigated. Second, one limitation is that the study is restricted to Category A travel agents only in Greater Cairo. Third, examining the antecedents of ability, motivation and opportunity seeking to transfer knowledge is also important.

It is important for travel agents, owners, managers and employees to acknowledge absorptive capacity as a critical component for organizations to sustain, grow and compete. Travel agents can also take steps to develop their employees’ absorptive capacity. Doing so would further enhance the success of knowledge, employees and travel agents’ performance. Also, travel agents’ top management has to ensure their employees’ absorbing knowledge, identifying and recognizing external knowledge, processing and understanding it, combining it with existing knowledge and applying the new knowledge to commercial ends. Hence, the development of absorptive capacity contributes to a travel agent’s achievement of competitive advantage.

This study contributes to the literature by expanding the extant literature on knowledge transfer and absorptive capacity by investigating the influence of travel agents’ manager competencies – ability, motivation and opportunity seeking – for knowledge transfer in the Egyptian context. In addition, it investigates the direct effects of the three dimensions of travel agents’ manager competencies – ability, motivation and opportunity seeking – for knowledge transfer. Finally, the paper investigates how employee’s absorptive capacity moderates the effects of managers’ competencies on knowledge received by the employees and moderates the effects of knowledge received by the employees on travel agents’ performance

The use of innovative technologies by firm employees is a key factor in ensuring the competitiveness of firms. However, researchers and practitioners have been concerned about the willingness of technology end users to use innovative technologies. This study, therefore, aims to determine the factors affecting the intention to use marketing analytics technology.

This study surveyed 213 firm employees. The quantitative data collected was analysed using partial least squares structural equation modelling.

The results reveal that performance expectancy, facilitating conditions, attitudes and perceived trust have a positive and significant effect on intentions to use marketing analytics. Effort expectancy, social influence and personal innovativeness in information technology were found not to predict intentions to use marketing analytics.

This study has practical implications for firms seeking to enhance the use of marketing analytics technology in developing countries.

This study contributes to the use of UTAUT, perceived trust, personal innovativeness and user attitude in predicting the intentions to use marketing analytics technology.

This study aims to investigate the effect of organizational ambidexterity (OA) and organizational green culture (OGC) on corporate sustainability (CS) while incorporating the mediating role of green innovation (GI) to provide a detailed insight into CS. The study also presents a research framework based on the Organizational Ambidexterity theory and Natural Resource-based view to explain the factors contributing to CS.

Using stratified sampling, the study collected data through survey-based empirical research from 307 textile companies registered with the Securities and Exchange Commission of Pakistan (SECP) or the All-Pakistan Textile Mills Association (APTMA). The collected data were analysed using path analysis, mediation analysis and moderation analysis through smart PLS-SEM version 4.0 to assess the composition and causal association of factors.

The study found a significant relationship between OA and OGC with CS. Furthermore, the study revealed that green innovation partially mediates the relationship between OGC and CS. The proposed research framework can be valuable for promoting and recommending actions to enhance CS.

The study on CS in the textile sector of Pakistan has limitations such as a narrow focus, cross-sectional design and reliance on self-reported data. Future research should explore additional factors, conduct longitudinal research, investigate contextual factors, scrutinize specific green innovation practices and broaden the scope of the study to include SMEs and other textile organizations.

The research framework can help senior executives to foster CS by promoting OGC, OA and GI. Practitioners and academicians can also utilize or further investigate the proposed framework for validation and to foster CS.

This study fills gaps in the existing literature by investigating the mediating effect of GI between OGC and CS. The proposed research framework provides a comprehensive understanding of the factors contributing to CS based on the Organizational Ambidexterity theory and Natural Resource-based view.

Supplier selection in the supply chain network (SCN) has strategic importance and involves multiple factors. The multi-criteria nature of the problem coupled with environmental uncertainty requires several procedures and considerations. The issue of decision-making in selecting the best among various qualified suppliers remains the major challenge in the pharmaceutical industry. This study investigated the multi-criteria multi-supplier decision-making process and proposed a model for supplier selection problems based on mixed-integer linear programming.

The concept of principal component analysis (PCA) was used to reduce data dimensionality, and the four best criteria have been considered and selected. The result is subjected to decision-makers’ (DMs’) reliability test using the concept of a triangular fuzzy number (TFN). The importance of each supplier to each measure is established using fuzzy technique for order preference by similarity to an ideal solution approach, and the suppliers have ranked accordingly.

This study proposes a mixed integer linear programming model for supplier selection in a pharmaceutical company. The effectiveness of the proposed model has been demonstrated using a numerical example. The solution shows the model's applicability in making a sound decision in pharmaceutical companies in the space of reality. The model proposed is simple. Readily commercial packages such as LINDO/LINGO and GAMS can solve the model.

This research contributed to the systematic manner of supplier selection considering DMs’ value judgement under a fuzzy environment and is limited to the case study area. However, interested researchers can apply the study in other related manufacturing industries. However, the criteria have to be revisited to suit that system and might require varying ratings based on the experts' opinions in that field.

This work suggests more insights practically by considering a realistic and precise investigation based on a real-life case study of pharmaceutical companies with six primary criteria and twenty-four sub-criteria. The study outcome will assist organizations and managers in conducting the best decision objectively by selecting the best suppliers with their various standards and terms among many available contenders in the manufacturing industry.

In this paper, the authors attempted to identify the most critical attributes to be preserved by the top managers (DMs) while selecting suppliers in pharmaceutical companies. The study proposed an MILP model for supplier selection in the pharmaceutical company using fuzzy TOPSIS.

This research aims to build on the pre-existing corpus of literature through the integration of the technology acceptance model (TAM) and usage habit to more accurately capture the determinants associated with social media addiction among university students. This study seeks to delineate how usage habit and TAM may be used as predictors for addiction potential, as well as provide greater insight into current trends in social media usage across this population demographic.

A cross-sectional research design was employed to investigate the determinants of social media addiction among university students in Malaysia at the onset of their tertiary education. A self-administered survey, adapted from prior studies, was administered to a sample of 217 respondents. The hypotheses on social media addiction were subsequently tested using a partial least squares structural equation modeling (PLS-SEM) approach.

Usage habit was found to be a direct and strong predictor of this type of addiction, as well as all TAM variables considered in the research. Additionally, by integrating TAM with usage habit, the study revealed a comprehensive and multi-faceted understanding of social media addiction, providing an important insight into its complexity in the Malaysian context. Although several other factors have been identified as potential contributors to social media reliance and addictive behavior, it appears that usage habit is paramount in driving these addictive tendencies among university students.

This expanded model holds significant implications for the development of interventions and policies that aim to mitigate the adverse effects of social media addiction on students' educational and psychological well-being. The study illustrates the applicability of the TAM in examining addictive behaviors within emerging contexts such as the Malaysian higher education sector, thus contributing to the extant literature on the subject.

The integrated TAM and habit model is an effective predictor of social media addiction among young adults in developing countries like Malaysia. This highlights the importance of actively monitoring and controlling users' interactions with technology and media platforms, while promoting responsible usage habits. Educators can use these findings to create tailored educational programs to educate students on how to use technology responsibly and reduce their risk of becoming addicted to social media.

This study provides a unique perspective on social media addiction among university students. The combination of TAM and usage habit has the potential to shed significant light on how variables such as perceived usefulness (PU) and perceived ease of use (PEOU) may be associated with addictive behaviors. Additionally, by considering usage habit as an explanatory factor, this research offers a novel approach to understanding how addictions form over time.

The paper examines the conditions under which the adoption of the Internet of Things (IoT) innovation is justified by business purposes. The purpose of this paper is to propose a methodology capable of guiding prudent and successful investment in the IoT. The paper identifies enabling conditions to maximize the success of IoT security innovation adoption projects in Italian banks.

The methodology proposed is constructed from two key sources: first a literature review and second through impressions gleaned from an informal survey and in-depth interviews with a sample of convenience of six managers of Italian bank security systems. A key purpose of the literature review is to identify enabling conditions for a successful IT innovation adoption project which is then synthesized into an “innovation adoption model” capable of illustrating an IoT adoption decision. Second, the authors identify business process reengineering (BPR) steps required to establishing an appropriate organizational and technical framework to successfully undertake the adoption of the IoT for bank physical security purposes. The resulting methodology refers to a typical BPR project approached from an information system development perspective capable of fusing IoT services with human-based services at best performance values.

The literature review and proposed BPR framework give indications of possible support for the conclusion that the banking sector is ready for the IoT innovations and transformation of traditional bank branch worksites into smart environments. The tentative nature of these findings give sufficient justification for trialing the IoT for banking physical security by introducing an Intelligent Protection System to manage security management processes. Although the authors do not generalize the findings from examining the Italian banking security system, the literature review and the paucity of studies available encourages us to investigate the use of the IoT for bank physical security more broadly.

Adoption of the IoT represents the third wave of IT-driven competition and introduces a methodology applicable to the security domain which represents, globally, an area that is becoming a domain of major economic and social concern. The IoT adoption model proposed reflects the current state of knowledge in the field and could be extended to other organizational at-risk areas requiring continuity of highly effective protection. The authors are encouraged by the results that indicate a high likelihood of success to trial an IoT introduction to banking security.