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This paper aims to evaluate employee’s perception regarding information pollution and determined the factors that lead to perceived infollution. In the case of this study, a four-dimensional scale of perceived infollution is presented. In addition, this study quantified information pollution in contrast to using the measurement tools of information quality.

A sequential exploratory mixed-method design was used to validate the measurement scale. The population of the present study comprised of the employees who work in the operations and credit department of banking sector. In this study, a four-dimensional second-order scale of perceived information pollution with a total of 19 items or sub-dimensions managed to be developed using exploratory factor analysis and confirmatory factor analysis.

The measurement scale confirmed that perceived information pollution in the context of workplace environment consisted of four dimensions, namely, intrinsic PIP, accessible PIP, contextual PIP and representational PIP where PIP stands for Perceived Information Pollution.

Management may use the four dimensions as a benchmark in revealing polluted information as well as enhancing information quality through information processing.

This is the first attempt of exploring the dimensions and validating the measurement scale of perceived infollution.

This paper aims to address the need for a more in-depth empirical investigation of exploring the link between the adoption of corporate social responsibility (CSR) practices and different aspects of customer behavior in a developing country. This paper develops a research framework and assesses the mediating role of trust, customer-company identification (CCI) and electronic-service quality (E-SQ) between customer perceptions of CSR and customer loyalty.

Working with a sample of 280 banking customers in Pakistan, partial least square based structural equation modeling is used to test the conceptual model.

Surprisingly, results suggest that CSR is not directly related to customer loyalty, which is contradictory to previously established findings conducted in developed countries. Thus, confirming a full mediation of CCI, E-SQ and trust in enhancing the effect of CSR on customer loyalty. The study also confirms that CSR is positively related to E-SQ, and E-SQ also directly affects CCI.

Banks should adhere to honest CSR practices and effectively communicate and advertise these practices to increase awareness and knowledge among the customers. Similarly, banks should advance in technological expertise to generate customer identification, which then leads to their loyalty.

Previous studies conferred short-term customer’s reactions, such as purchase intention and brand image. Still, this research discusses the long-term effect of CSR on customer behavior, such as the loyalty of the customers. Moreover, this is the pioneer study that investigates how CSR actions influence customer perceptions about E-SQ and how electronic services affect customer identification with a bank.

The purpose of this research study is to extract and identify named entities from Hadith literature. Named entity recognition (NER) refers to the identification of the named entities in a computer readable text having an annotation of categorization tags for information extraction. NER is an active research area in information management and information retrieval systems. NER serves as a baseline for machines to understand the context of a given content and helps in knowledge extraction. Although NER is considered as a solved task in major languages such as English, in languages such as Urdu, NER is still a challenging task. Moreover, NER depends on the language and domain of study; thus, it is gaining the attention of researchers in different domains.

This paper proposes a knowledge extraction framework using finite-state transducers (FSTs) – KEFST – to extract the named entities. KEFST consists of five steps: content extraction, tokenization, part of speech tagging, multi-word detection and NER. An extensive empirical analysis using the data corpus of Urdu translation of Sahih Al-Bukhari, a widely known hadith book, reveals that the proposed method effectively recognizes the entities to obtain better results.

The significant performance in terms of f-measure, precision and recall validates that the proposed model outperforms the existing methods for NER in the relevant literature.

This research is novel in this regard that no previous work is proposed in the Urdu language to extract named entities using FSTs and no previous work is proposed for Urdu hadith data NER.

In this digital era, email is the most pervasive form of communication between people. Many users become a victim of spam emails and their data have been exposed.

Researchers contribute to solving this problem by a focus on advanced machine learning algorithms and improved models for detecting spam emails but there is still a gap in features. To achieve good results, features also play an important role. To evaluate the performance of applied classifiers, 10-fold cross-validation is used.

The results approve that the spam emails are correctly classified with the accuracy of 98.00% for the Support Vector Machine and 98.06% for the Artificial Neural Network as compared to other applied machine learning classifiers.

In this paper, Point-Biserial correlation is applied to each feature concerning the class label of the University of California Irvine (UCI) spambase email dataset to select the best features. Extensive experiments are conducted on selected features by training the different classifiers.

Supply of food from the early stages of societies was one of the most important needs of humans. Sustainable supply of food is a demand in modern societies. The agri-food market grows as the population rises every year. The increase in the demand side of the market is more than the growth of the supply side. The rate of using technology in the supply side is increasing rapidly. By using technology in some parts, the efficiency of production improved and caused more production while resources are the same. Availability of resources in different areas causes different ways of production and nurturing innovative technologies to maintain food security. Water, soil, climate change, and growth of population are drivers of using technology in food security. To depict the role of different technologies in the food industry, the authors have reviewed the role of the most important technologies in this field. Knowing the trends of changes in the industry will help to focus on the most important questions and solutions. Having a share in the global food market requires the major use of technology in production processes. In this chapter, the authors will review the most important trends of technology absorption in the food industry.

This research aims to explore childhood construction in the Afghan refugee community living in Pakistan. Young Afghan people aged 12–18 who were working on the streets participated in the generation of data for this study in 2019. Ethnographic research approaches with semi-structured in-depth interviews and field observations were used to obtain real insights. Young Afghan refugees have been a constant phenomenon on the streets for decades in the twin cities of Pakistan – Rawalpindi and Islamabad – where this research was conducted and are involved in different street-based casual activities. The findings show that young people face discrimination and exclusion from the mainstream of society due to their undefined citizenship status and poverty. Parents see their children as dependents and as assets for their old age, and children and young people need to work to support their families who live in poverty. In fulfilling their filial responsibilities, young people sacrifice their schooling and have limited opportunities to learn new skills. It is concluded that the government and other international institutions with responsibility for setting policies and creating programs for young Afghan refugees need to understand the dynamics of the families in which the young people live and how these families inculcate them with their generational values.

This study aims to investigate how the interplay of multiple strategic orientations influences the growth-based performance of small and medium enterprises (SMEs). The authors have specifically examined the direct and complementary effects of multiple strategic orientations [i.e. entrepreneurial orientation (EO), market orientation (MO) and sustainability orientation (SO)] on firm performance.

The data have been collected from 410 SMEs operating in Pakistan.

The results revealed that the multiple strategic orientations (EO, SO and MO) have positive direct as well as complementary effects on SMEs' growth-based performance. Specifically, the joint effects of EO and MO were shown higher than other combinations and complementarities. Moreover, the direct effect of SO is found far lesser than the joint implementation of SO with either EO or MO.

This study provides key insights into corporate sustainability, strategic orientations and SME performance literature. The implications for theory, practice, policy and future research are discussed.

The financial crisis of 2007/2008 has caused many to question the basic premises of the current business system. Porter and Kramer suggest that the purpose of the corporation needs to be redefined. They posit that the corporation, rather than merely pursuing financial value creation set out to pursue shared value creation. They further declare social entrepreneurs the paragons of said shared‐value creation. The purpose of this paper is to explore that claim.

This paper critically analyzes the pathway of shared‐value creation in three leading social enterprises employing a genealogical perspective.

It is found that very innovative shared‐value creating ventures opted out of balance‐oriented, shared‐value creation strategies and embraced either financial or social‐value primacy strategies over time. The findings thus question the power of the shared‐value creation notion when viewed as balance orientation.

The paper presents a new concept, a new methodology, and interesting case studies.

Improved production with quality, safety, and security is the biggest challenge of the food industry. Modern technologies, including robotics and automation systems, can help to cope with such issues. This chapter gives a brief view of robotics and automation for the sustainable food industry along with packaging, warehousing, distribution, marketing, and consumer services. It describes the recently implemented solutions of robotic automation in different supply chain operations and various food commodities. The benefits of robotic and automation technology for perishable and semi-perishable items have also been covered. The present research may assist the food industry professionals, supply chain managers, and academicians in implementing automation and robotics in the food industry.

We aimed to analyze the impact of the transition to the hybrid model of teamwork and team dynamics from the perspective of the five key challenges, i.e. communication, coordination, connection, creativity and culture.

To achieve the stated aim, we conducted a literature review and then an exploratory qualitative study. We split the research into phases: December 2021 to January 2022 and July to August 2022. In the first phase, we conducted computer-assisted online interviews (CAWIs) with all members of the remote team and an in-depth interview with the manager. After the transition from remote to hybrid work in February 2022, we returned to the team to conduct in-depth interviews with team leaders and the manager.

We identified key findings, i.e. managerial implications of differences across the 5 Cs (communication, coordination, connection, creativity and culture) noted in the functioning of the analyzed team as the team shifted from fully remote work to the hybrid work model.

We concluded that if people do not spend time together and are not impregnated with the unique culture and values of a given organization, they will not feel a connection to its distinctive ethos and may choose to leave. In the longer-term, the last challenge may be the biggest single opportunity for employees post-pandemic and concurrently the single biggest challenge that organizational leadership will need to address, given that sustainable market success depends on talent.

The results showed that team communication, teamwork coordination, social and emotional connections among team members, nurturing of creativity, as well as of the organizational culture were of high importance to the team in the hybrid work model. Thus, we confirmed the findings of other authors. The study contributes to our understanding of the impact of the hybrid work model on teamwork and team dynamics and provides some guidance on how organizations can mitigate these, in particular through the team manager.