Purpose: The purpose of this study is to present a complete framework that defines the link between choices and decision criteria based on existing research on digital influencers (DIs) connected to consumer purchase intentions. The primary goal of this article is to assess the effect of DIs on customer purchase intentions via the creation of an integrated knowledge-based system (KBS).Design/methodology/approach: The suggested KBS is based on the fuzzy analytic hierarchy process (AHP), which creates a link between DI elements and their overall effect on consumer purchase intentions.Findings: With the help of a KBS, the performance of DIs may be evaluated. It demonstrates the link between choices connected to factors and decision criteria of various variables, demonstrating the beneficial effect of DIs in molding customer purchase intentions in the organic skincare industry.Practical implications: The proposed KBS would aid marketing managers and decision makers in assessing the effect of DIs on customer purchase intentions. This research would also give decision makers with extensive information on influencer marketing and crucial elements that have a significant effect on customer purchase intentions.Originality/value: This is the first research to employ the fuzzy AHP methodology and KBS in relation to influencers' effect. No prior research has targeted the organic skincare industry to assess the effect of Internet influencers on consumer purchase intentions. Furthermore, the KBS offers a holistic and complete way to studying influencers' effect on cost per impression (CPI) by establishing a linkage between choices and decision criteria.

Purpose: Service quality in academics is imperatively crucial. Therefore, the purpose of the current research is to examine the effect of academic service quality factors in higher education institutions which mainly focuses on students' satisfaction and the extent of recommending the same institution to other students. Design/methodology/approach: This research evaluated the effect of service quality on student satisfaction and word of mouth (WOM). Data were collected from 200 respondents from various business schools, and hypotheses were tested through a quantitative method using partial least square-structural equation modelling (PLS-SEM) with the help of SmartPLS to validate the measurement model. Findings: The findings of the current research revealed that all three components of service quality including information quality, teaching quality and service efficiency have a significant impact on student satisfaction. Results also indicated that student satisfaction is significantly linked with WOM which means satisfied students spread positive WOM and recommend the same institution to other students. Originality/value: This research provides an extension towards the body of knowledge on the issue, which will be used in future detailed and critical examinations. The focus of the research was on SERVQUAL and how, when and why business schools may spot possible applications that can have an influence on their admissions by WOM.

Purpose: This paper aims to find the impact of blockchain supply chain on supply chain performance with a mediating role of supplier trust, traceability and transparency.Design/methodology/approach: Data was collected using the purposive sampling technique on a five-point Likert scale from 150 respondents. For data analysis, IBM SPSS and Smart PLS 3.3.7 were used to test the hypotheses by evaluating the structural equation modeling.Findings: The blockchain supply chain found a significant effect on supply chain performance. Moreover, there is a substantial effect of the blockchain supply chain on supply chain performance via mediators, including supplier trust, supply chain traceability and supply chain transparency. Further, the mediation type of all mediators was full mediation in the relationships between blockchain supply chain and supply chain performance.Research limitations/implications: The research findings are helpful for industrialists, supply chain practitioners and policymakers. The practitioners can adopt blockchain technology to enhance inter-organizational collaboration, develop trust, data visibility and traceability, and critical decisions, ultimately bringing sustainable growth for the firm.Originality/value: The outcomes of this research enrich the literature and share the impact of one of the most trending technologies in the supply chain perspective. Future research can empirically test the relationship between blockchain and supply chain sustainability.

Consumer satisfaction in e-commerce directly depends on logistical services. There is a constant dilemma in which logistical service dimensions affect consumers’ product satisfaction. The aim is to determine how specific dimensions of logistics services affect product satisfaction in the e-commerce industry of Pakistan. For this research, a survey questionnaire with a deductive approach was utilized by collecting data from 197 respondents through a convenient sampling technique. Further, hypotheses were tested through a quantitative method with the help of SmartPLS. A measuring instrument was used with six dimensions, that is, availability, delivery time, shipping costs, product quality and condition, information quality, and customer satisfaction related to the product. This research revealed an insignificant effect of product availability, shipping time, and shipping cost on product satisfaction. In contrast, product quality and information quality were found to have a significant and positive effect on product satisfaction. From academic insights to logistical optimization, this research unlocks valuable knowledge for all stakeholders driving Pakistan’s e-commerce revolution. Buckle up for a journey into the heart of this rapidly evolving landscape.

Purpose: Environmental concerns, government action and activism have increased the bar for how businesses operate. The United Nations also suggested sustainable performance in their SDG-12 and SDG-13 to achieve sustainability by 2030. Therefore, this research aimed to examine environmental and operational performance in the manufacturing context and how institutional pressure and manufacturing supply chain collaboration affect performance.Design/methodology/approach: Data were collected from 207 manufacturing firms using purposive sampling. The hypotheses were tested through a Covariance-Based Structural Equation Modeling approach with the help of IBM SPSS AMOS version 22.0. The study conducted an explanatory factor analysis and found two sub-constructs (higher-order) for “institutional pressure.”Findings: The findings illustrated that environmental performance significantly mediates the relationship between manufacturing supply chain collaboration and operational performance. The manufacturing supply chain collaboration significantly directly and indirectly affected operational performance. Likewise, institutional pressure was a crucial construct for manufacturing supply chain collaboration.Originality/value: In earlier studies, the relationships of study variables were examined individually. However, this study validated all the relationships in an integrated model with one variable (institutional pressure) in higher order. The study is grounded in institutional and stakeholder theory and contributes to the literature on green measures. At the operational level, the research can assist managers in comprehending the function of various manufacturing supply chain players to assist the eco-friendly practices that help to achieve SDG-12 (Responsible Consumption and Production) and SDG-13 (Climate Action) by 2030.