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The purpose of this study is to make students understand the logic behind and implications of the “Socio-Technical Imbrication Framework” that can help them understand the importance of aligning workforce motivation and capabilities with the modern technology deployed in the organization. Moreover, students will understand the essentiality and criticality of customer satisfaction for the organization.

The technical services operations team at Cotton Web Limited formerly relied on JS Node, e-coordination system, to address customer complaints. There were many bugs in that system as it did not carry along the complaint tracking protocol, was slow in response, fundamentally structured upon manual complaint record keeping that resulted in piling up un-resolved complaints for a longer period of time. The team under the leadership of Mr. Hasan Ali, a competent expert working as GM Research and Data Analytics, undertook detailed analysis of recurring glitches in this system and replaced it with a novel Web-based automated complaint management system at Cotton Web Limited. This entire diagnosis and intervention process took almost three months till completion. The case is written for use in courses in the curriculum of BBA, BBIS, BSIT and BSCS programs at undergraduate level. It is most suitable for the courses in leadership, change management, business process reengineering, soft engineering, team building and business communication.

The case is suitable for teaching at Undergraduate level to the students of BBIS, BBA, BSCS and BSIT students in the last year of their degree programs. Teaching faculty can use case-based methodology for student learning by putting them into a real-life situation faced by an organization and letting them think critically and identify following points for further discussion and clarity: individual or in groups; problem identification through discussion; the stakeholders involved in the company’s situation through presentation or one-pager presentation; case analysis with reaching best solution to prevailing issue at hand through group discussion; reaching a decision or solution with reasonable logic and justification through group discussions; and create further dilemma on the basis of questions unanswered within this case story.

Teaching notes are available for educators only.

CSS 7: Management Science.

This study aims to examine the moderating effect of sustainability marketing on brand loyalty of brands that advertise their sustainable development agenda goals. The study highlights the mediating effect of brand love having cognitive antecedents of brand authenticity, popularity and congruence with private and social self of the consumer.

A mall intercept survey was used to collect data from consumers who use brands that embrace sustainable marketing strategies. Only those brands were selected which are popular as well as advertise sustainable practices in their brand communication (mainstream and social media). The data was self-administered by trained research assistants, who gathered data from a sample of 350 respondents.

The findings revealed that the popularity and authenticity of a brand play an essential role in developing brand love and later influences brand loyalty behavior. A larger effect is seen on brand love when there is congruence of private and social self with the brand. The brand has even a stronger relationship with brand loyalty when moderated by sustainability marketing.

Brand love has the potential for long-term influences, only if sustainability marketing is used as a backbone. Brand managers should target an authenticity-seeking segment of consumers, who once convinced can lead to repeat business and brand loyalty and reduce dissonance. As sustainability marketing provides multiple benefits, genuine branding strategies should be devised that amalgamate into a single message spun around sustainability concerns and connecting the ethos of authenticity, popularity and self-expression. Future research may take into consideration more categories than this study on clothing, and consumer goods, adopting a mixed-methods approach. Moreover, a range of potential antecedents of brand love can be determined along with potential outcomes when aligned with external efforts such as sustainability, corporate social responsibility and international investment.

To the best of the authors’ knowledge, this is the first study investigating the moderating role of sustainability marketing on the relationship between brand love and brand loyalty and the mediating role of brand love between brand authenticity, popularity, social/private-self-expression and brand loyalty. It is also the first study documenting how sustainability marketing reinforces the brand loyalty for popular brands in developing countries like Pakistan. This study fills a research gap as it expands the existing literature on sustainability marketing and brand love that is generally focused on brand dimensions and not the brand communications and thus has not reached similar results.

This study attempts to explore the linkages between reliable big and cloud data analytics capabilities (RB&CDACs) and the comparative advantage (CA) that applies in the manufacturing sector in the countries located in North Africa (NA). These are considered developing countries through generating green product innovation (GPI) and using green process innovations (GPrLs) in their processes and functions as mediating factors, as well as the moderating role of data-driven competitive sustainability (DDCS).

To achieve the aim of this study, 346 useable surveys out of 1,601 were analyzed, and valid responses were retrieved for analysis, representing a 21.6% response rate by applying the quantitative methodology for collecting primary data. Convergent validity and discriminant validity tests were applied to structural equation modeling (SEM) in the CB-covariance-based structural equation modeling (SEM) program, and the data reliability was confirmed. Additionally, a multivariate analysis technique was used via CB-SEM, as hypothesized relationships were evaluated through confirmatory factor analysis (CFA), and then the hypotheses were tested through a structural model. Further, a bootstrapping technique was used to analyze the data. We included GPI and GPrI as mediating factors, while using DDCS as a moderated factor.

The empirical findings indicated that the proposed moderated-mediation model was accepted due to the relationships between the constructs being statistically significant. Further, the findings showed that there is a significant positive effect in the relationship between reliable BCDA capabilities and CAs as well as a mediating effect of GPI and GPrI, which is supported by the proposed formulated hypothesis. Additionally, the findings confirmed that there is a moderating effect represented by data-driven competitive advantage suitability between GPI, GPrI and CA.

One of the main limitations of this study is that an applied cross-sectional study provides a snapshot at a given moment in time. Furthermore, it used only one type of methodological approach (i.e. quantitative) rather than using mixed methods to reach more accurate data.

This study developed a theoretical model that is obtained from reliable BCDA capabilities, CA, DDCS, green innovation and GPrI. Thus, this piece of work bridges the existing research gap in the literature by testing the moderated-mediation model with a focus on the manufacturing sector that benefits from big data analytics capabilities to improve levels of GPI and competitive advantage. Finally, this study is considered a road map and gaudiness for the importance of applying these factors, which offers new valuable information and findings for managers, practitioners and decision-makers in the manufacturing sector in the NA region.

A paradigm shift toward a corporate model of higher educational settings has led to complex and excess work demands, yet the potential long-run ramifications of work overload are still under-examined. Building the arguments on the “spiral of resource loss” corollary of the conservation of resources (COR) theory, the authors have bridged this gap by testing how work overload spills over into career resilience via reduced harmonious passion. In addition, the authors compare how the employees having standardized workloads differ in their harmonious passion and career resilience from those having excessive (non-standardized) workloads.

Through a longitudinal natural field experiment of 402 faculty members [N = 198 in the standardized group (optimal load) and N = 204 in the non-standardized group (overload)] working in higher educational institutions of Pakistan, data were collected in three waves (each six months apart). The group comparison, trend analysis and longitudinal mediation analysis done through SPSS and MPlus affirmed the hypothesized associations.

The results have shown that work overload impacts career resilience through the mediating role of harmonious passion. The faculty members in the standardized workload had more passion and career resilience as compared to the non-standardized workload group. In addition, these impacts intensified overtime for the overloaded faculty members while faculty members with optimal workload sustained their passion and resilience for the teaching profession.

Taking the COR perspective, this study sheds light on how faculty members' work overloads reduce their capability to retain their passion and resilience for teaching from a longitudinal and experimental perspective.

The impact of COVID-19 has caused a recession in economies all over the world. In this context, the current study aims to analyze the prevailing economic scenario using a machine learning approach and suggest sustainable measures to recover the global economy taking the case of Make in India (MII) initiative of developing the economy as a base for the study.

A well-known topic modeling technique – Latent Dirichlet allocation (LDA) algorithm has been employed to extract useful information characterizing the existing state of selected sectors under the MII initiative alongside catalytic policies that have been implemented for the same. The textual data acts as the base of the study upon which suggestions are provided.

The findings obtained suggest that digital transformation will play a key role in concerned sectors to optimize the performance of manufacturing organizations. Additionally, inter-relationship between Key Performance Indicators for the economy's revival is crucial for effective utilization of foreign direct investment resources.

The novel efforts to utilize MII initiative as a case present crucial information which can be used by policy makers and various other stakeholders across the globe to enhance decision-making and draft legislation across different sectors to empower the economy.

The study presents a novel approach to utilize the MII initiative by identifying important measures for crucial sectors and associated policies that have been presented by employing a text mining approach which in itself makes it unique in its contribution to research literature.

Mega-infrastructure development plans pave the way for policies to upgrade the infrastructure, environmental management and different aspects of locals’ well-being. These developmental dynamics can positively affect rural tourism including heritage sites destinations. The quality of life of local people can be linked to this positive developmental change through long-term and sustainable economic revitalization projects. In terms of this process, developing large-scale infrastructure and incorporating tourism sustainability can improve the quality of life-related to different dimensions that are critical to the community's well-being. Therefore, researchers have attempted to address this issue.

Data were collected between September and October 2020. The study sample size was the residents of Zhabagly village, including Zhabagaly, Abaiyl and 115 Railway settlements. Moreover, the residents were older than 18 years. A systematic random sampling technique was utilised to reach the targeted sample size and the researchers received 243 responses from the locals. Structural equation modelling (SEM) was used for analysis.

The findings from the structural equation modelling suggest that sustainable tourism increases due to the positive effect of mega-infrastructure development and positively impacts the locals' quality of life. Notably, no direct effect of mega-infrastructure development on quality of life reveals the pivotal role of sustainable tourism. Therefore, during the COVID-19 period, the dimensions of sustainable tourism – economic, market, socio-cultural and environmental – played a role in securing the positive impact of mega-infrastructure development on the locals’ quality of life.

This research highlighted the fact that when infrastructure projects are implemented to their full potential, they will generate sustainable tourism activities, provide eco-adventure activities, relax, treat signatories and boost the economy of all stakeholders. The study used AMOS to test the hypotheses. Qualitative research methods, including interviews with citizens, government officials and tourism managers, require further study.

The infrastructural development on a mega-scale means building an upscaling tourism ecosystem. This ecosystem is marked by the availability of drinking water, waste and energy management facilities that support the elevation of living material, community, health, safety and emotional well-being. It reflects the policy-level implications for future Belt and Road initiatives (BRIs). The tourism industry's resilience during COVID-19 has practical lessons for other industries.

Large-scale infrastructure construction must create favourable conditions for the rapid development of tourism. The availability of clean water, waste and energy management facilities contributes to the food production, social cohesion, physical and mental health and general well-being of the ecosystem. This is one of the few studies that used sustainable tourism as a mediator between the impact of large infrastructure projects and their impact on the quality of life of locals during the COVID-19 pandemic. Aksu-Zhabagly, a World Heritage Site in Kazakhstan, was the site of this field study.

This study attempts to examine the relationship between reliable big and cloud data analytics capabilities (RB&CDACs) and comparative advantages (CA) of manufacturing firms (MFs) in the Middle East region as developing countries using green product innovation (GPI) and green process innovations (GPrI) mediating factors, further assess the role of data-driven competitive sustainability factor as a moderated factor.

436 useable online surveys were analyzed using the quantitative approach for the data-gathering process, applying structural equation modeling in the Smart-PLS program as an analysis tool. The sample unit for analysis included all middle- and senior-level managers and employees within MFs. The authors performed convergent validity and discriminant validity tests, bootstrapping also was applied. The authors included GPI and GPrI as mediating factors while using data-driven competitive sustainability as a moderated factor.

The findings of this study indicated that there is a positive significant effect in the relationship between reliable big and cloud data analytics capabilities and comparative advantages, which is supported by the formulated hypothesis. Furthermore, the findings confirmed that there was a positive and significant effect through the mediating factors (i.e. GPI and GPrI) on comparative advantage, additionally, it confirmed and supported that the moderating factor represented by data-driven competitive advantage suitability has significant effect as well.

This study has some limitations represented by using only one type of methodological approach (i.e. quantitative), further, it was conducted on only Asian countries in the Middle East region.

This piece of work improved the proposed conceptual research model and included several factors such as reliable big and cloud data analytics capabilities, comparative advantage, data-driven competitive sustainability, GPI and GPrI. This research offered new and valuable information and findings for managers, practitioners and decision-makers in the MFs in the Middle East region as a road map and gaudiness for the importance to apply these factors in their firms for enhancing the comparative advantages in their firms. Further, this research fills the gap in SCM literature and makes a bridge of knowledge and contribution to the existence of previous studies.

The rapid shift in the emerging pedagogies of customer behavior has changed the business preferences in the hotel sector. This study prioritizes the hotel's main task to develop customer re-patronage intention. Keeping in line with these factors, this study investigates the impact of customer empowerment on re-patronage intentions through customer value co-creation in the hotel sector of Pakistan. Furthermore, the study examines the moderating impact of sensation-seeking on customers.

A total of 350 potential customers participated in the online survey using purposive and snowball sampling techniques. Partial least square structural equation modeling was employed using Smart PLS-3 to test the projected hypotheses.

This study reveals that empowered customers improve their behavior and involvement in value co-creation, which, in turn, increases the prospects of re-patronage intention. Moreover, sensation-seeking moderates between consumer empowerment and customer value co-creation.

Customer-dominant logic and sense-making theory present interesting insights where customer empowerment and value co-creation have a positively significant impact on customer re-patronage intention. Findings also elaborate on a significant mediating role of customer value co-creation activities, which is an interesting call for hotel managers to add thought-sharing ecosystems. The suggested factors add long-lasting results in terms of revenues, performance and global GDP.

It provides guidance for the hotel managers through novel factors that activate the customer to augment an intention to re-patron. Moreover, it provides a direction to add sensation-seeking strategies that strengthen the effects on customer empowerment and value co-creation.

This study has its uniqueness in introducing an environment in hotels where customers are empowered to further actively participate in value co-creation initiatives, along with sensation-seeking acting as a stimulus among them. These factors have greatly impacted the hotel's objectives (i.e. re-patronage intention).

The literature on knowledge management in sustainable supply chain (KMSSC) has witnessed significant growth in the past two decades. However, a scientometric review that consolidates the primary trends and clusters within this topic has been notably absent. This paper aims to scrutinize recent advancements and identify the intellectual underpinnings of KMSSC research conducted between 2002 and 2022.

The present review employs a scientometric analysis approach via visualization maps of prolific contributions, co-citation, co-occurrence and thematic networks to examine a total of 114 articles and conference papers on KMSSC.

Emerging research frontiers and hotspots are revealed and a state-of-the-art framework of KMSSC research structure is developed.

The review provides significant implications that guide KMSSC research and better inform sustainability decisions in the supply chain context.

To the best of the authors' knowledge, this is the first review to thoroughly synthesize the intersected domain of KMSSC using scientometric analysis.

Organizations have increasingly been compelled to engage in ecological businesses in recent decades, necessitating identifying environmental practices contributing to enhanced sustainability. One of the main reasons for doing this research is to see how far down the path to green transformational leadership (GTFL) in Green Human Resource Management (GHRM) practices in the healthcare industry in Pakistan. Additionally, this research aims to analyze how this change affects the long-term success of businesses in sustainable performance (SP).

To identify factors related to the study variables, the research utilized master journals, as well as the Web of Science and Scopus databases. The ISM-DEMATEL (Interpretive Structural Modeling - Decision Making Trial and Evaluation Laboratory) technique was employed to establish a hierarchical model. This model facilitated the identification of cause-and-effect relationships among factors, which were further elucidated using the DEMATEL interrelationship diagram.

The analysis of the results indicates that Green Training (F4), Green Job Analysis (F1), Intellectual Stimulation (F10), and Green Product Innovation (F9) are the primary factors that have a significant impact on achieving Environmental Policies and Regulations (F13), and Subjective Environment Norms (F14) of SP factors.

The study is implemented in the healthcare industry of Pakistan, with a focus on practical and managerial aspects. It encourages managers to develop and adapt their human resources policies and environmental strategies. Implementing safety health standards is crucial to mitigate the detrimental effects on the environment. The research was carried out during the period of the pandemic. The scope of this study was restricted to the healthcare industry in Pakistan.

In order to improve SP, this study presents a unique strategy combining sustainability into decision-making procedures with the function of GTFL in GHRM. Implementing safety health standards is crucial to mitigate the detrimental effects on the environment.