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The purpose of this paper is to investigate psychometric properties of the Self-Efficacy for Therapeutic Use of Self (SETUS) scales, a questionnaire based on the Intentional Relationship model, and to investigate the factor structure and internal consistency of the English version of three-part SETUS questionnaire in occupational therapy students.

The sample of this cross-sectional study included 155 students with age range 18–30 years, of which 95% were women. Principal Components Analysis (PCA) was performed on the questionnaire scales, including the Self-Efficacy for Therapeutic Mode Use (SETMU), Self-Efficacy for Recognizing Interpersonal Characteristics (SERIC) and Self-Efficacy for Managing Interpersonal Events (SEMIE). The internal consistencies were calculated. Pearson correlation analysis was used to evaluate the strength of correlation among the scales.

The PCA confirmed that the items of each of the three proposed scales loaded strongly on one factor (self-efficacy for three factors of therapeutic mode use, recognizing interpersonal characteristics and managing interpersonal events). The Cronbach’s alpha for the SETMU, SERIC and SEMIE was 0.85, 0.95 and 0.96, respectively. The three scales significantly inter-correlated strongly (r ranging 0.74–0.83, all p < 0.001).

The SETUS questionnaire comprises three valid and reliable scales. It can be used by occupational therapy supervisors as a means to reflect on students’ self-efficacy in components of therapeutic use of self.

Female adults diagnosed with myalgia encephalomyelitis (ME) and chronic fatigue syndrome (CFS) often are marginalised because their condition is not fully recognised by medical and health-care systems. The purpose of this small-scale study was to explore the lived experiences of adult females with ME/CFS in England in relation to contributing factors that impact their occupational participation.

A qualitative study design using semi-structured interviews was used with nine female adult participants who were selected using a purposive sampling method. A Thematic Networks tool was used to analyse data.

Four organising themes were identified: impairment-, person-, environment- and society-related factors. Two global themes, invisibility and diagnosis stigma, were identified as the overarching issues that female adults with ME/CFS face in occupational participation.

Many of the issues that contribute to lack of participation by this population are associated with environmental factors which are secondary to their illness.

This study investigates the impact of US political sanctions on innovation and fraudulent activities within Iranian businesses affected by sanctions. Additionally, it explores the moderating role of intellectual capital in the relationship between sanctions and innovation/fraud.

The study employs a difference-in-differences methodology to compare Iranian companies before and after sanctions. It analyzes 23 sanctioned companies from 2013 to 2023, matched with non-sanctioned counterparts.

The empirical findings reveal a modest negative association between sanctions and innovation, with no discernible connection between sanctions and fraudulent practices. Notably, the study uncovers a significant divergence in companies’ reactions to sanctions, contingent upon their intellectual capital. Companies with substantial intellectual capital witness notable improvements in innovation endeavors, while those lacking robust intellectual capital exhibit an uptick in fraudulent activities in response to sanctions. These findings are robust across various sensitivity analyses, underlining their reliability and validity.

The study underscores the pivotal role of intellectual capital in mitigating the adverse effects of sanctions on innovation. Consequently, policymakers and practitioners should prioritize investments in intellectual capital development, acknowledging its significance as a fundamental driver of organizational resilience and competitive advantage.

The findings contribute to the literature by revealing the nuanced effects of sanctions on innovation and fraudulent practices while highlighting the crucial role of intellectual capital. This enriches understanding of regulatory compliance, corporate behavior and the importance of intellectual capital in organizational resilience and ethical conduct.

In today’s age of globalization, every industry puts well-determined efforts toward surviving in the market. Industries are well aware of the fact that offering quality products and improving customer satisfaction is the strategic decision toward successful outcomes. During the recent years, food companies have undergone remarkable growth and development worldwide. In the Middle East, with a wide variety of demand and range of cultures, Iran is leading the food industries and possessed a top position of paramount importance. The present research aims to identify and prioritize barriers to implementing total quality management (TQM) in the Solico Food and Beverage Production Group (SFBPG) as a case study.

Firstly, an initial list of barriers is prepared based on a literature review. The identified barriers are then classified into four groups namely behavioral, technical-structural, human and cultural and strategic barriers based on the viewpoint of an expert team at a well-known food company. Secondly, the barriers are prioritized by adopting a special approach to multi-criteria decision-making (MCDM) called the Group Best-Worst Method (GBWM).

The obtained results reveal that the most substantial barriers prohibiting the successful implementation of TQM are lack of top management commitment and participation (0.334), high organizational burnout rate (0.128), instability and frequent changes of senior managers (0.123).

In general, this research has ranked the barriers from the most important one to the least significant instance. Additionally, this can enable managers and practitioners in the food industry to make worthy decisions and suggest multiple solutions to cope with obstacles to the successful implementation of TQM.

The purpose of this paper is to introduce an integrated approach using failure modes and effects analysis (FMEA), multiple-criteria decision making (MCDM), mathematical modeling and quality function deployment (QFD) techniques, for risk assessment and service quality enhancement in coronary artery bypass grafting (CABG) as a treatment for cardiovascular diseases (CVDs).

First, the disruptions in the CABG process are identified and prioritized following FMEA instructions, using two MCDM techniques, called analytic hierarchy process (AHP) and TOPSIS. Consequently, several corrective activities are identified and weighted on the basis of QFD. Finally, a mathematical model is established to determine the most cost-effective activities for implementation. The approach is developed in a fuzzy environment to reflect the uncertainty and ambiguity of human reasoning.

Regarding the CABG process disruption, a total of 30 failure modes in four main categories were identified and prioritized. Moreover, eight corrective activities were devised and ranked according to their impact on the failure modes. Finally, considering a limited amount of budget, a sensitivity analysis on the mathematical model’s objective function indicated that using 30 percent of the total budget, required to implement all corrective activities, was enough to cover more than 70 percent of the effects of corrective activities on the failure modes.

This paper contributes to the quality risk assessment knowledge by introducing an integrated approach to evaluate and improve healthcare services quality. Also, the case study conducted on the CABG process has not been done by other related studies in the literature.

Small and medium-sized enterprises (SMEs) are a major source of employment and revenue growth in developing nations like India, but they also face challenges from resource shortages, shifting consumer demand and heightened competition. This research aims to discover the aspects that enhance SMEs' competitiveness and performance.

By analyzing literature and consulting experts, 10 factors that boost a firm's competitiveness were identified. The total interpretive structural modeling (TISM) method was then used to determine their interaction and structural hierarchy. Neutrosophic-MICMAC analysis was employed to assess the driving-dependence power of each factor.

The study discovered that the factor, namely “entrepreneurial orientation,” was found to be a significant one. “Manufacturing strategy” was found to be extremely dependent on the remaining competitive advantage factors.

This SME-focused framework can be adopted by large businesses to enhance organizational performance by focusing on critical factors. The study depends on experts' judgment, which might be biased. Findings will assist SMEs in identifying significant factors influencing competitive advantage and relationships, increasing awareness of factors contributing to competitive edge.

The results of the research may encourage SME sector managers and practitioners to prioritize the factors that contribute to a firm's competitive advantage.

The majority of research on SME competitive advantage focuses on individual aspects. To add to the body of knowledge on the subject, this study applies the TISM technique to Indian SMEs to identify the contextual interactions among factors that increase long-term competitiveness.

While the adoption of health-analytics (HA) is expanding, not every healthcare organization understands the factors impacting its readiness for HA. An assessment of HA-readiness helps guide organizational strategy and the realization of business value. Past research on HA has not included a comprehensive set of readiness-factors and assessment methods. This study’s objective is to design artifacts to assess the HA-readiness of hospitals.

The information-systems (IS) theory and methodology entail the iterative Elaborated Action Design Research (EADR)method, combined with cross-sectional field studies involving 14 healthcare organizations and 27 participants. The researchers determine factors and leverage multi-criteria decision-making techniques to assess HA-readiness.

The artifacts emerging from this research include: (1) a map of readiness factors, (2) multi-criteria decision-making techniques that assess the readiness levels on the factors, the varying levels of factor-importance and the inter-factor relationships and (3) an instantiated system. The in-situ evaluation shows how these artifacts can provide insights and strategic direction to an organization through collective knowledge from stakeholders.

This study finds new factors influencing HA-readiness, validates the well-known and details their industry-specific nuances. The methods used in this research yield a well-rounded HA readiness-assessment (HARA) approach and offer practical insights to hospitals.