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Training has been an important tool for enhancing the skills and productivity of employees. Having productive employees helps organizations sustain themselves. Today, the authors organisations have an increasing number of employees on third-party payroll performing core as well as noncore business functions. However, due to the lack of ownership and moral obligation of employers, these employees are often not provided training, resulting in skills obsolesce and less productivity. The present study is a systematic literature review (SLR) on client organizations’ roles in training third-party employees (TPEs) and its related outcomes.

The present study is a SLR on client organizations' roles in training TPEs and their related outcomes. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach, this study presents a review of 217 research papers on training of TPEs and its related outcomes.

The study identifies the outcomes of providing training to TPEs and presents the findings and suggestions made by researchers. The study concludes that TPEs are an important investment for the client organization. Training them would benefit the client organization, TPEs and the economy as a whole. The paper also suggests some avenues for future research.

This paper tries to answer an important question: What could drive productive behavior among TPEs? Based on the literature reviewed, the answer is that TPEs could be offered training opportunities with a view to enhancing their employability. This could induce, among them, a sense of being valued and supported while contributing to organizational performance and creating a feeling of reciprocal obligation. This is an important contribution to literature. Low investment in these employees affects their employability, i.e. be it in the same organization for another term or another organization and thus the need for training and development, for sustained productivity among TPEs, in organizations.

Training and development, for them, would result in enhanced employability within as well as outside the organization. These employees could also be a good source for regular positions within the organization, if required, benefiting both the organization and the employee. Additionally, the economy would also benefit from a pool of skilled workforce. Therefore, it is suggested that governments initiate some policy framework regarding mandatory training of TPEs to increase their competencies, resulting in increased organizational productivity, especially for TPEs at lower and middle levels of management.

The paper is an original contribution by the researcher. An attempt has been made to highlight the training needs of TPEs and their related outcomes.

Social media influencers have become constant companions of a large audience of young consumers, but a crucial yet underexplored area of examination relates to the implications of exposure to influencers for an individual’s self-concept. This study aims to examine if and how individuals experience self-discrepancies when exposed to influencers and the impact of such discrepancies on their affect, cognition and behaviors toward the influencers and the brands they endorse.

The authors thematically analyze 17 semistructured interviews, develop a conceptual model and present a set of hypotheses. The hypotheses are tested by analyzing survey data from 503 respondents using structural equation modeling.

Individuals actively engage in comparisons with influencers’ virtual self-presentation and treat them as emblematic of an ideal self. The associated self-discrepancy can lead to both negative and positive affect, but while the latter has a positive impact on e-word of mouth (WOM) and purchase intent, the former has a negative impact. Perceived homophily dampens the impact of exposure to influencer content on discrepancy and strengthens the link between discrepancy and positive affect. Self-acceptance and mindfulness positively moderate the impact of discrepancy on positive affect and negatively on negative affect. Perceived authenticity strengthens the impact of positive affect on e-WOM and dampens the impact of negative affect on purchase intention.

The authors contribute to the literature on self-discrepancies by identifying a consumer context where, in addition to the theoretically predicted negative affect, an individual may experience more positive emotions like feeling motivated or inspired because of the perceived attainability of an influencer as an ideal self. The authors contribute to the influencer marketing literature by examining the influencer–follower relationship and its implications for an individual’s self-concept, including the role played by perceived homophily and authenticity. The authors also contribute to the literature on consumer well-being and identify the role of self-acceptance and mindfulness in shaping consumer experiences.

The authors provide a nuanced analysis of the impact of influencer marketing on consumer behavior with a focus on its impact on an individual’s self-concept. The authors argue for the role of perceived homophily and authenticity in shaping favorable consumer behavior outcomes and offer evidence for more inclusive approaches to marketing.

The authors identify the influencer–follower relationship as a unique social exchange where the source of self-discrepancy is also a homophilic solution provider for achieving one’s ideal self and report both positive and negative effects as outcomes of experiencing a self-discrepancy induced by a target perceived as more attainable. The authors situate understandings of perceived homophily and authenticity along these relationships and identify self-acceptance and mindfulness as mechanisms used by individuals to deal with discrepancies.

This paper reviews the synergy of Industry 4.0 and additive manufacturing (AM) and discusses the integration of data-driven manufacturing systems and product service systems as a key component of the Industry 4.0 revolution. This paper aims to highlight the potential effects of Industry 4.0 on AM via tools such as digitalisation, data transfer, tagging technology, information in Industry 4.0 and intelligent features.

In successive phases of industrialisation, there has been a rise in the use of, and dependence on, data in manufacturing. In this review of Industry 4.0 and AM, the five pillars of success that could see the Internet of Things (IoT), artificial intelligence, robotics and materials science enabling new levels of interactivity and interdependence between suppliers, producers and users are discussed. The unique effects of AM capabilities, in particular mass customisation and light-weighting, combined with the integration of data and IoT in Industry 4.0, are studied for their potential to support higher efficiencies, greater utility and more ecologically friendly production. This research also illustrates how the digitalisation of manufacturing for Industry 4.0, through the use of IoT and AM, enables new business models and production practices.

The discussion illustrates the potential of combining IoT and AM to provide an escape from the constraints and limitations of conventional mass production whilst achieving economic and ecological savings. It should also be noted that this extends to the agile design and fabrication of increasingly complex parts enabled by simulations of complex production processes and operating systems. This paper also discusses the relationship between Industry 4.0 and AM with respect to improving the quality and robustness of product outcomes, based on real-time data/feedback.

This research shows how a combined approach to research into IoT and AM can create a step change in practice that alters the production and supply paradigm, potentially reducing the ecological impact of industrial systems and product life cycle. This paper demonstrates how the integration of Industry 4.0 and AM could reshape the future of manufacturing and discusses the challenges involved.

The purpose of this paper was to assess and determine the impact of the five core technologies of Industry 4.0 (3D Printing, Big Data Analytics, Cloud Computing, Internet of Things (IoT) and Robotics) on the organizational performance of the retail industry in the context of Pakistan.

Pakistan's retail industry was chosen as the target sector, and the target population was composed of senior-level employees, including managers from first-level positions to top-level positions, as well as subordinate employees working under the supervision of first-level managers, possessing the technological know-how of Industry 4.0. The data were collected through a matrix-based survey questionnaire that was based on a five-point Likert scale, ranging from “strongly agree” to “strongly disagree.” The process of data analysis was conducted using IBM SPSS Statistics.

The findings obtained by this research work showed a significant relationship among the five core pillars of Industry 4.0 and the organizational performance of Pakistan's retail industry. Besides, the obtained findings provided preliminary evidence that Industry 4.0's disruptive technologies, particularly, 3D printing, big data analytics, cloud computing, IoT and robotics, could help Pakistan's retail industry solve various problems and challenges, such as meager revenues, increased expenses and unorganized systems.

The present study extended the theoretical body of knowledge through studying and examining Industry 4.0's five crucial factors that significantly contribute to the service sector, particularly, the retail industry, of the big emerging markets (BEM) economies, including Pakistan.