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The importance of story‐telling in organizational life has often been overlooked in contemporary organizational and leadership literature. Throughout history, leaders ‐ political and religious ‐ have used story‐telling as a powerful motivational tool, particularly during times of uncertainty, change and upheaval or in response to crises. This article looks at the role of story‐telling as an integral part of the human experience and at its applications in modern organizational life. The article concludes by suggesting that the art of story‐telling is still, despite recent advances in communication technologies, an essential managerial skill ‐ particularly for leaders of organizations.

The main purpose of this study is to fill the research gap on how B2B global service firms integrate dynamic capabilities within their omnichannel management to influence positive word of mouth (WOM), customer engagement (CE) and customer equity.

Drawing on the dynamic capability and WOM theories, a model has been developed that defines the subjects of the empirical test. The paper reports on data collected from 312 service-oriented global firms in Australia, through a cross-sectional survey. Data were analyzed using structural equation modeling.

The findings suggest that content management (i.e. information consistency, source trustworthiness and endorsement) and concerns management (i.e. privacy, security and recovery) capabilities are the two significant antecedents of positive WOM within a B2B omnichannel setting in international marketing. The findings also confirm the key mediating role of CE between positive WOM and customer equity.

The findings extend dynamic capability theory in the context of international marketing by linking WOM, CE and customer equity. The findings add further theoretical rigor by establishing the nomological chain between positive WOM and customer equity, in which CE plays a key mediating role.

This issue is a selected bibliography covering the subject of leadership.

The purpose of this paper is to develop a comprehensive eating screening inventory named the Sensory Processing, Aberrant Mealtime Behaviors, Motor, Inventory for Eating (SAMIE). The SAMIE will accurately screen nutritional risk by identifying the four primary domains that affect eating in children with autism spectrum disorder (ASD).

The development of the questions was executed in three steps. First, a review of the literature was conducted. Second, expert opinion was acquired which was critical in developing the questions. Third, ten think-aloud protocols were set up to simplify the first draft. Prior to the pilot study, four participants were recruited to complete the SAMIE online.

A total of 162 participants completed the online demographic questionnaire and the SAMIE. Overall, participants did not differ between groups for demographic characteristics, BMI status and dietary intake. After conducting a series of statistical tests, results illustrated that the SAMIE is a valid measure to screen nutritional risk in children with ASD.

Due to the complexities of problematic eating behaviors in ASD, there is a need for a comprehensive screening inventory that encompasses the four domains that impact eating in an ASD. These domains have been identified as, namely, aberrant mealtime behavior, eating skills, dietary intake, and sensory processing and have yet to be utilized collectively to screen for nutritional risk in children with ASD.

The SAMIE is a novel eating screening inventory that will standardize the methodology for screening nutritional risk that can be used in clinical, community and research settings.

E-learning has demonstrated its value as a powerful tool for enhancing students' educational experience. This paper uses a quantitative approach to examine the impact of students' cognitive problem-solving skills on their e-learning management ability. In addition, it investigates the parallel mediation role of student psychological motivation and peer collaboration. Moreover, the moderating role of gender was examined to identify the difference in e-learning management ability among male and female students.

Data were collected from 214 Malaysian business students using an online survey. For the analysis, the researcher utilized both SPSS and a SMART PLS software.

The results show that cognitive problem-solving skills directly impact student e-learning management. Moreover, psychological motivation and peer collaboration mediate the relationship between cognitive problem-solving and student e-learning management. The study's results reported that female students' psychological motivation is higher than males in managing their e-learning environment. The study found that an e-learning environment helps students develop cognitive problem-solving skills, and students can manage their e-learning independently.

The COVID-19 pandemic in 2020 worldwide has shifted the educational system from a traditional approach to an online context. There is a lack of studies examining students' cognitive problem-solving skills, their ability to manage e-learning and investigating gender differences. The findings reported here are novel in the context of Malaysia. Little evidence exists about the impact of problem-solving among business students on e-learning management ability while providing insight into gender differences.

A perfect knowledge management (KM) initiative is one that achieves its objectives without any failure during a pre-defined period. However, KM implementation is not perfect in every organization as it requires substantial changes in organizational infrastructures, including culture, structure, and technology. Therefore, the purpose of this paper is to propose a model for assessing the reliability of KM to help organizations evaluate their ability to implement KM successfully by identifying key reliability variables, modeling the complex interaction structure among variables, and determining the probability of failure for each KM capability.

In this study, relevant variables are identified by a thorough analysis of related references in literature. In order to determine the compound structure of complicated interactions among variables, a group-based approach is utilized. Based on the combined cognitive maps, a cognitive network is constructed as a framework for graphically representing the logical relationships between variables and capturing the uncertainty in the dependency among these variables using conditional probabilities. The applicability of the proposed approach and the efficacy of the model was verified and validated with data from a banking institution.

Results show that KM reliability can be defined by the degree to which required KM capabilities, including infrastructure and process capabilities, have the ability to perform as intended in a certain organizational environment. Furthermore, it is demonstrated that reliability assessment of KM through a hybrid approach of fuzzy cognitive map and Bayesian network is possible and useful.

The proposed reliability assessment model facilitates the process of understanding why and how failures occur in KM. Moreover, the proposed approach evaluates the probability of success for each variable as well as for the entire KM initiative. Therefore, it can provide insight for managers and executives into the degree of reliability for their existing KM and prevention of failures in vital factors through necessary actions.

The suggested approach to KM reliability assessment is a novel method that provides powerful arguments for a more holistic view of KM reliability factors, which is crucial for the successful implementation of KM.

This chapter reviews the evidence on the role of physicians in shaping inequalities in access to and utilisation of healthcare. The authors examine three types of physician decisions that can influence inequalities in access and utilisation: location decisions, decisions to work in the public and/or private sector, and decisions or behaviours in the doctor–patient encounter. For each, the authors summarise the issues and empirical evidence on possible policies to help reduce inequalities in access. Future research to reduce inequalities should focus on changes to health systems that influence physician decisions, such as health insurance expansions, the public–private mix and financial incentives, as well as physician training and policies for a more diverse physician workforce.

This study aims to investigate the feasibility of employing a multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation. The formulated objectives are the minimisation of the total allocation cost of the anti-fraud capacities and the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots.

From the literature survey conducted and primary qualitative data gathered from the 17 licenced banks in South Africa on fraud investigators, the suggested fraud investigators are the organisation’s finance department, the internal audit committee, the external risk manager, accountants and forensic accountants. These five human resource capacities were considered for the formulation of the multi-objectives integer programming (MOIP) model. The MOIP model is employed for the optimisation of the employed capacities for cyberfraud mitigation to ensure the effective allocation and utilisation of human resources. Thus, the MOIP model is validated by a genetic algorithm (GA) solver to obtain the Pareto-optimum solution without the violation of the identified constraints.

The formulated objective functions are optimised simultaneously. The Pareto front for the two objectives of the MOIP model comprises the set of optimal solutions, which are not dominated by any other feasible solution. These are the feasible choices, which indicate the suitability of the MOIP to achieve the set objectives.

The results obtained indicate the feasibility of simultaneously achieving the minimisation of the total allocation cost of the anti-fraud capacities, or the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots – or the trade-off between them, if they cannot be reached simultaneously. This study recommends the use of an iterative MOIP framework for decision-makers which may aid decision-making with respect to the allocation and utilisation of human resources.

The originality of this work lies in the development of multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation.

Making appropriate decisions concerning the ongoing management of existing built facilities is an important activity for property and facilities managers. Such decisions comprise multiple criteria, and the relative importance of these criteria typically reflects the implicit preferences or biases of the decision maker(s). This paper seeks to apply a new property management 3D decision model known as iconCUR to investigate the impact of criterion weights on the decision to intervene.

A retrospective case study of a real project in Sydney (Australia) that underwent adaptive reuse transformation in 2008 is used to test the sensitivity of implied decision‐maker preferences in practice.

It is found that significant change to individual criterion weights relating to aspects of building condition, space utilization and triple bottom line reward has minimal influence on the derived spatial coordinates that underpin the 3D decision model and hence the recommended intervention strategy in the particular case studied.

It is further suggested that changes in criterion weights over time as expectations and situations may dictate can be accommodated without undermining the integrity of the decision‐making process.

The deployment of this type of approach, at least, documents the decision‐making process involved in important property management strategies and exposes the frequently implicit preferences of decision makers. These preferences are shown not to be as critical as might have been suspected. This may add further confidence to the use of MCDA in facilities management decisions.

The purpose of this paper is to examine the concept of perishable food supply chain quality (PFSCQ) and to suggest a structural model that counts the influence of PFSCQ practices on organizational sustainable performance.

On the basis of comprehensive literature review, PFSCQ highly significant practices were examined and designated. These practices were classified into four dimensions: upstream quality (supplier quality), downstream quality (customer focus), internal quality (process and logistics quality) and support practices (top management leadership and commitment to quality, quality of human resource, quality of information and supply chain integration). The measurement instrument of organizational sustainable performance was also build on, containing three aspects: economic, environmental and social performance.

An inventive conceptual model that specifies a comprehensive image cover up core dimensions of PFSCQ and various aspects of organizational sustainable performance was suggested. This conceptual model can be used as “a directive” for theory developing and measurement instrument development of PFSCQ practices and organizational sustainable performance. More prominently, on the road to achieving additional insight, an extensive structural model that makes out direct and indirect relationships between PFSCQ practices and organizational sustainable performance was also developed. Practitioners can apply this model as “a path plan” for implementing PFSCQ practices to improve organizational sustainable performance.

The integration of quality and supply chain even now remains inadequate in the literature. Consequently, it is required to have a more focused approach in assessing quality issues inside the upstream, internal and downstream of the supply chain. This study concentrates on the practices which make better quality aspects of the supply chain, known as PFSCQ practices. Suggested research models in this paper contribute to conceptual frameworks for theory building in PFSCQ and sustainable organizational performance. It is also expected that this research can suggest a useful direction for determining and implementing PFSCQ practices as well as make possible further studies in this arena.