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In this study, the researchers explored the roles played by digital technologies and digital innovation (DI) in Pakistan's Information, Communication and Technology (ICT) companies' firm performance (FP).

The researchers used a quantitative study to gather cross-sectional data from employees working in Pakistan's ICT companies. The authors based this study's findings on 396 valid samples.

The structural equation modeling (SEM) findings underline that digital capability (DC), digital orientation (DO) and digital transformation (DT) have positive and significant effects on DI and FP. Moreover, there is a positive and significant relationship between DI and FP. Finally, DI mediates DC's, DO's and DT's associations with FP.

By committing to embracing new digital technologies and updating existing DCs to become innovation leaders and to improve FP, the findings will help sectors to take advantage of developing digital technologies and the trend toward digitalization. The results are also valuable for policymakers when considering if SMEs should be provided with more money for the digital up-skilling of their employees. Finally, this study's findings enrich the depth of literature about companies' use of digital technologies.

This study's empirical findings confirm the roles played by DC, DO and DT in improving DI and FP in a developing country such as Pakistan.

This study aims to conceptualize the relationship of perceived artificial intelligence (AI) credibility with consumer-AI experiences. With the widespread deployment of AI in marketing and services, consumer-AI experiences are common and an emerging research area in marketing. Various factors affecting consumer-AI experiences have been studied, but one crucial factor – perceived AI credibility is relatively underexplored which the authors aim to envision and conceptualize.

This study employs a conceptual development approach to propose relationships among constructs, supported by 34 semi-structured consumer interviews.

This study defines AI credibility using source credibility theory (SCT). The conceptual framework of this study shows how perceived AI credibility positively affects four consumer-AI experiences: (1) data capture, (2) classification, (3) delegation, and (4) social interaction. Perceived justice is proposed to mediate this effect. Improved consumer-AI experiences can elicit favorable consumer outcomes toward AI-enabled offerings, such as the intention to share data, follow recommendations, delegate tasks, and interact more. Individual and contextual moderators limit the positive effect of perceived AI credibility on consumer-AI experiences.

This study contributes to the emerging research on AI credibility and consumer-AI experiences that may improve consumer-AI experiences. This study offers a comprehensive model with consequences, mechanism, and moderators to guide future research.

The authors guide marketers with ways to improve the four consumer-AI experiences by enhancing consumers' perceived AI credibility.

This study uses SCT to define AI credibility and takes a justice theory perspective to develop the conceptual framework.

Consumer food behavior has received considerable attention from marketers, researchers and regulators. With the rising obesity epidemic worldwide, the existing literature and previous reviews provide a limited understanding of consumers’ unhealthy food choices. To address this gap, this study aims to investigate consumer psychology for food choices in terms of mental processes and behavior.

This systematic literature review analyzed 84 research papers accessed from the Web of Science database and selected high-quality marketing journals. A detailed analysis identified themes arranged in an organizing framework. Gaps, limitations, convergence and ambivalent findings were noted to derive future research directions.

Major themes in the literature include food marketers’ actions (food stimuli and context), environmental influence (micro and macro) and consumer psychology and personal factors, leading to food choice related decisions. The antecedents and consequences of food choice healthiness are summarized. Several studies converged on the benefits of health motivations and goals, food literacy and customizing meals bottom-up on food choice healthiness.

This review helps researchers gain state-of-the-art understanding on consumer psychology for food choices. It presents ambivalent and converging findings, gaps and limitations of extant research to inform researchers about issues that need to be addressed in the literature. This review presents future research questions to guide research on critical issues. This literature review contributes to marketing domain literature on consumer’s food well-being and overall well-being.

This review offers actionable insights for food marketers, policymakers and nongovernmental organizations to drive consumer demand for healthier foods, focusing on food labeling, food environment, message framing and raising consumer awareness.

This review offers current understanding of consumer psychology for food choices focusing on healthiness, an aspect lacking in previous literature reviews.

Consumers’ lifestyle and financial decision-making affects their overall well-being. This paper aims to explore the factors that motivate consumers to pursue the goal of financial independence and retiring early (FIRE).

Qualitative netnography was used to analyze FIRE-related discussions by FIRE-specific online communities. The findings were triangulated using inputs from in-depth interviews with 13 financial advisors.

Using conservation of resources as a theoretical lens, two factors were found to be the primary motivators driving FIRE attitude and subsequent adoption of FIRE behavior – “escapism & freedom from the current workplace & life space” and “concern for physical & mental well-being.” Four factors were found to influence the adoption of FIRE attitude and behavior: “individual characteristics” [do-it-yourself (DIY) and proactive attitude, the capability of frugal living and ability to plan, track, and review], “well-paying job,” “support from spouse” and “resistance from social groups.”

Due to the nature of netnography, demographic details of the sample cannot be completely ascertained.

The findings suggest marketing strategies primarily to wealth managers for: shifting to need-based segmentation of FIRE participants, modifying offerings to involve co-creation and low-touch products, innovating pricing models, increasing distribution reach through digitization and increasing sales and lead generation through engagement.

This is one of the first studies to explore the factors driving the adoption of FIRE by general FIRE consumers and presents a conceptual model.

Mobile applications affect our everyday activities and have become more and more information centric. Effort estimation for mobile application is an essential factor to consider in the development cycle. Due to feature complexities and size, effort estimation of mobile applications poses a continued challenge for developers. This paper attempts to adapt COSMIC Function Point and Unified Modeling Language (UML) techniques to estimate the size of a given mobile application. The COSMIC concepts capture data movements of the functional processes whereas the UML class analyzes them. We utilize the Use Case Diagrams, sequence diagrams and class diagrams for mapping the Function user requirements for sizing mobile applications. We further present a new size measurement technique; Unadjusted Mobile COSMIC Function points (UMCFP) to get the functional size of mobile application using Mobile Complex Factors as an input. In this study eight mobile applications were analyzed using UMCFP, Function Point Analysis and COSMIC Function Point. The results were compared with the actual size of previous Mobile application projects.

This paper aims to examine existing literature on halal food consumption from the perspective of consumer behaviour research. It identifies progress, current state and gaps and provides direction for future research to advance the field.

This paper reviewed papers from 2007 to 2023 using Scopus and WOS databases. The review used the Theories–Context–Characteristics–Methods (TCCM) framework and followed the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol.

The review summarises the methods, theory and approaches used in the topic and presents key findings and a proposed framework. It can guide future researchers in developing their models, making it a valuable starting point for future research. Despite the existence of SRL in halal food to the best of the authors’ knowledge, this work is the first review that proposes a model for halal food in consumer behaviour.

This review provides a twofold contribution. First, this review's theoretical contribution is advancing consumer behaviour literature on halal food. Second, this work's practical contribution is to enrich practitioners' understanding of the antecedents of consumer behaviour regarding halal food. This is the first review proposing a consumer behaviour model for Halal food. It makes a theoretical contribution to understanding consumer behaviour on Halal food and provides practical insights for practitioners.

An individual’s standard of living is profoundly affected by industrialization and technology’s continuous revolution. At present, the environment is uncontrollable and global warming is increasing. Therefore, there is a need to protect the earth immediately as the lives of all creatures are at risk. The purpose of this paper is to determine the factors related to green purchase behavior (GPB) by incorporating religious values (RGV) as a moderator. Moreover, the moderating role of RGV has been incorporated so that the importance of RGV in the life of millennials can be examined.

Smart partial least square (PLS) has been used for data analysis, and PLS-structural equation modeling has been used to assess measurement and structural models.

The findings reveal that environmental concern, environmental knowledge and green perceived value positively and significantly affect attitude and subjective norm (SN). Moreover, attitudes toward the purchase of green products and SNs also show a positive and significant relationship with green purchase intention (GPI). In addition, GPI is also positively and significantly associated with GPB. However, green brand knowledge portrays a positive but insignificant relationship with attitude and SN. Finally, RGV does not strengthen the relationship between intention and behavior.

Religion is a strong predictor of individual behavior as people are emotionally connected with Islam’s teachings. Therefore, the study provides a unique contribution by adding RGV as a moderator in the model of TRA. Also, the authors targeted the specific generation, i.e. millennials, so that millennials’ behavior can be identified as it covers Pakistan’s large population. Also, millennials are the people who are more involved in decision-making.

Palm oil has consistently been a staple ingredient in the Malaysian diet. Despite various promotional efforts throughout the years, the health aspects of palm oil have often been undervalued, leading consumers to overlook its benefits. This study has two objectives: (1) to explore consumer behaviour in purchasing decisions for food products containing palm oil in an emerging market and (2) to examine consumer awareness of palm oil as an ingredient in various edible products related to health.

A quantitative methodology that utilises a self-administered questionnaire was adopted for data collection. The conceptual framework and hypotheses were tested using partial least squares (PLS) structural equation modelling (SEM) on a dataset of 342 respondents.

The findings revealed that three hypotheses – attitude, subjective norms (SNs) and perceived health benefits – positively impact the intention to purchase palm-oil-based food products. Additionally, results indicate that Malaysian consumers practice sustainable consumption when purchasing palm-oil-based food products.

There is a need for a greater understanding of the importance perceived health benefits have in influencing consumers' consumption of food products containing palm oil in an emerging market such as Malaysia. This research study addresses the gap in existing knowledge.

The Coronavirus disease 2019 (COVID-19) pandemic has increased the use of food delivery containers in the food and beverage industry. Based on the theory of planned behavior (TPB), the aim of this paper is twofold: Firstly, it examines the influence of three elements of TPB (attitude, perceived behavioral control and subjective norm) and time pressure on the intention to reuse reusable food delivery containers (ITR). Secondly, it examines ITR as an antecedent to the willingness to pay more for reusable food delivery containers (WTPM).

Data were collected from 401 higher education institution (HEI) students and analyzed using partial least squares structural equation modelling (PLS-SEM).

The study found that the three elements of TPB influenced ITR. Furthermore, the results revealed that ITR directly influenced WTPM. Surprisingly, time pressure did not influence ITR.

The research is one of the earliest studies to investigate HEI students' intention to reuse food delivery containers during the COVID-19 pandemic. The study contributes to TPB by presenting a novel, integrated model to explain the independent roles of time pressure and ITR on ITR and WTPM, respectively. Finally, it contributes to the existing body of knowledge on pro-environmental behavior among HEI students and advances methodologically by establishing the PLS-SEM approach.