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Although, smartphones have facilitated users to keep their personal information, nonetheless, less has been investigated about factors affecting personal information management (PIM) practices. Therefore, this study aims to investigate how personal innovativeness, perceived ease of use (PEOU) and mobile self-efficacy affect PIM (e.g. finding/re-finding, keeping, organizing and maintaining) practices.

Quantitative research design was used in this study. The authors collected data from 222 students of information management from public sector universities using a questionnaire. PLS modeling technique was used to analyze data.

The authors noted that personal innovativeness significantly impacts finding/refinding information, whereas it insignificantly affects keeping, organizing and maintaining information practices. In addition, smartphone PEOU significantly influences information finding and refinding, information keeping and organizing information, whereas insignificantly influences information maintaining. Moreover, mobile self-efficacy was noted to be significantly associated with finding and refinding information, information keeping, information organizing and information maintaining.

This research is an important contribution to the body of existing literature, as it proposed an integrated model based on constructs extracted from Technology Acceptance Model (TAM), Social Cognitive Theory, personal innovativeness and PIM. This study also has practical significance because the findings of this study would be helpful for smartphone application developers and LIS school directors to design programs for information literacy.

The purpose of this study is to investigate the impact of mobile self-efficacy on personal digital archiving (PDA) practices of undergraduate students.

This study used a quantitative research design for achieving the objectives. The population consisted of undergraduate students from public sector universities (the top five) of Punjab, Pakistan, listed in the Higher Education Commission recognized general universities. The data were analysed by using SmartPLS, mobile self-efficacy was the independent variable that consisted of two constructs (basic mobile phone operations and using the internet and emails). PDA practices was the dependent variable (information backup, clearing and deleting).

The analysis consisted of two major parts: first the assessment of measurement model and second the structural equation modelling analysis. A significant impact of mobile self-efficacy (basic mobile phone operations, using internet and email) was found on all the sub-constructs (information backup, information clearing and information deleting) of PDA practices. However, using internet and email has no significant impact on the information clearing practices of undergraduate students of Pakistani universities.

This study is a valuable addition to the extant literature because no comprehensive research has been carried out on the impact of mobile self-efficacy and PDA through mobile phones. It also contributes theoretically in the form of the development of a validated instrument on mobile-based PDA. Additionally, it possesses practical value for information literacy instruction programs.

This paper aims to assess the impact of green purchasing behavior (GPB) of a young generation in Pakistan.

The data were collected from students of different colleges affiliated with Shah Abdul Latif University from Sukkur and Larkana regions of Upper Sindh. A total of 400 questionnaires were administrated among students and 361 completed questionnaires were returned. A pen-and-paper method was applied to collect the data.

Model 1 revels that interpersonal influence and environmental knowledge were found positively related to GPB, whereas media and price were found positively but insignificantly related to GPB. Lastly, trust in green products was also found negatively and insignificantly related with GPB. Model 2 was used to test the moderating impact of price on the relationship between EA and GPB.

To promote GPB, government can play significant role by sponsoring environmental campaigns and environmental culture and these campaigns may include broadcasting promotional messages, distributing leaflets with utility bills, speeches in schools and colleges and advertisements with the help of printing and electronic sources.

Regarding green food purchase, this study’s results contribute to the literature by providing some theoretical contributions in literature. Green purchasing is so far a very new notion in Pakistan and therefore, literature on promotion of GPB is still lacking in the said country.

Supplier selection in the supply chain network (SCN) has strategic importance and involves multiple factors. The multi-criteria nature of the problem coupled with environmental uncertainty requires several procedures and considerations. The issue of decision-making in selecting the best among various qualified suppliers remains the major challenge in the pharmaceutical industry. This study investigated the multi-criteria multi-supplier decision-making process and proposed a model for supplier selection problems based on mixed-integer linear programming.

The concept of principal component analysis (PCA) was used to reduce data dimensionality, and the four best criteria have been considered and selected. The result is subjected to decision-makers’ (DMs’) reliability test using the concept of a triangular fuzzy number (TFN). The importance of each supplier to each measure is established using fuzzy technique for order preference by similarity to an ideal solution approach, and the suppliers have ranked accordingly.

This study proposes a mixed integer linear programming model for supplier selection in a pharmaceutical company. The effectiveness of the proposed model has been demonstrated using a numerical example. The solution shows the model's applicability in making a sound decision in pharmaceutical companies in the space of reality. The model proposed is simple. Readily commercial packages such as LINDO/LINGO and GAMS can solve the model.

This research contributed to the systematic manner of supplier selection considering DMs’ value judgement under a fuzzy environment and is limited to the case study area. However, interested researchers can apply the study in other related manufacturing industries. However, the criteria have to be revisited to suit that system and might require varying ratings based on the experts' opinions in that field.

This work suggests more insights practically by considering a realistic and precise investigation based on a real-life case study of pharmaceutical companies with six primary criteria and twenty-four sub-criteria. The study outcome will assist organizations and managers in conducting the best decision objectively by selecting the best suppliers with their various standards and terms among many available contenders in the manufacturing industry.

In this paper, the authors attempted to identify the most critical attributes to be preserved by the top managers (DMs) while selecting suppliers in pharmaceutical companies. The study proposed an MILP model for supplier selection in the pharmaceutical company using fuzzy TOPSIS.

The purpose of this paper is to measure the relationship of technology acceptance model (TAM) variables (PEOU and PU) with behavioral intention (BI) and attitude in mobile and digital libraries context. This study also examines the relationship of external variables (information quality and system quality) with TAM variables (PEOU and PU) in mobile and digital libraries context.

This meta-analysis was performed through PRISMA-P guidelines. Four databases (Google Scholar, Web of Science, Scopus and LISTA) were used for searching, and the search was conducted according to defined criteria.

Findings of this study revealed a large effect size of PU and PEOU with BI. There was also a large effect size of PU and PEOU with attitude. A medium effect size was found between SysQ → PU, InfoQ → PU and SysQ → PEOU. However, there was a small effect size between InfoQ and PEOU.

To the best of the authors’ knowledge, there was no study published till the time of conducting this meta-analysis. Hence, this study fills the literature gap. This study also confirms that TAM is a valid model in the acceptance and use of technology in mobile and digital libraries context. Thus, the findings of the present study are helpful for developers and designers in designing and developing mobile library apps. It will also be beneficial for library authorities and system librarians in designing and developing digital libraries in academic settings.

Knowledge is considered an asset for any organization. To distribute knowledge and expertise among stakeholders of an organization, there is a need to develop knowledge sharing (KS) culture. However, different factors affect KS. This study aims to identify the influence of trustworthiness (trust, ability, benevolence and integrity) and motivation and reward on KS attitudes and intentions of law students.

The objectives of the study were achieved by using a quantitative research design. Law students of the colleges affiliated with Punjab University were the population for the present research. The sampling frame of the study was all law colleges, and data was collected through a convenient sampling technique. Data was collected through personal visits to sampled colleges. Questionnaires were circulated among 330 respondents and two hundred valid responses were collected with a 61% response rate. Descriptive analysis was completed using SPSS and path analysis was measured through SmartPLS. The quality of the measurement model was assessed and then hypotheses were tested.

Findings revealed that there was no impact of trustworthiness (trust, ability, benevolence and integrity) on the KS attitude of students. However, motivation and rewards significantly impacted (ß = 0.590; p > 0.01) the KS attitudes. KS attitude also has a significant impact on KS intentions (ß = 0.560; p > 0.01).

The current study is a valuable addition to the literature by providing the impact of trustworthiness, motivation and reward on law students’ KS intentions and attitudes in developing countries. The present study also provides insights for authorities and decision-makers in making decisions regarding the development of KS among students.

The Islamic Holy days are among the most celebrated spiritual traditions in the world and are observed by more than 1.5 billion Muslims. This study aims to investigate the effect of these events on the regular returns of stock exchanges in selected Muslim countries.

This study examines data from eight Asian and African stock exchanges from 2001 to 2019. Isolating the effect of Gregorian calendar anomalies, it aims to evaluate the effect of Islamic Holy days on stock returns by running a pooled random effect panel regression on all the stock exchanges examined.

The results reveal the positive impact of Eid-ul-Fitr on Asian markets, the negative impact of Eid Milad-un-Nabi on the African stock market’s returns and the positive effect of the Holy month of Ramadan on both markets. Some Gregorian calendar anomalies also were found in these markets.

The research has significant implications for marketing professionals to recognize business opportunities and investors to efficiently manage their stock portfolio during Islamic events of Eid-ul-Fitr, Eid Milad-un-Nabi and Ramadan in relevant Muslim countries.

Given the research gap between Gregorian and Islamic calendar anomalies, this paper contributes by combining the effect of Islamic Holy days on the returns of selected Muslim-dominated financial markets.

The purpose of this study is to investigate the relationships between the information system success model constructs including information quality (IQ), system quality (SysQ) and service quality (ServQ) with user satisfaction (US) and intention to use (IU).

A meta-analysis approach was used to achieve the objectives. For this purpose, the PRISMA-P guideline was used, and a search strategy was designed to search in three indexing databases including Google Scholar, Scopus and LISTA.

The findings of this research revealed that IQ, SysQ and ServQ are positively related to US and IU regarding library systems. The strength of the relationship between IQ and IU, IQ and US, ServQ and US and SysQ and US was high.

This study is a unique addition to the literature, as it provides a collective and comprehensive conclusion regarding different information systems’ (ISs) success in libraries. Therefore, it fills the literature gap. The findings also work as guidelines for system developers, designers and library high-ups to consider IQ, SysQ and ServQ while designing and developing ISs for libraries.

The purpose of this study is to explore the relationship between mobile self-efficacy and personal information management (PIM) practices through mobile phones and smartphones, and additionally, to explore the challenges of using a smart device for PIM.

This study followed Preferred Reporting Items for the Systematic Review and Meta-analysis (PRISMA) guidelines to achieve the objectives. A comprehensive search strategy, inclusion criteria and exclusion criteria were formulated in light of PRISMA guidelines. The data were collected from different scholarly repositories, databases and core journals of PIM. The studies were included after four steps, i.e. identification, screening, eligibility and inclusion of studies.

Findings revealed that there was a positive relationship between mobile self-efficacy and PIM via mobile phones. People used two techniques for finding and re-finding information via mobile phones/smartphones. These techniques include browsing and searching information. People send information, share with others and save in draft folders to emails in mobile phones/smartphones for keeping information for future use. They organize their personal information in folders and use different applications such as Evernote, Google Calendar, alarm and organizer. They uninstall and update mobile applications with new versions, clear phone call history and backup personal information to desktop devices and cloud services to maintain personal information. PIM via mobile phone/smartphone challenges were also identified. These challenges were classified as information related challenges, technical challenges, mobile phone adaptability challenges and miscellaneous challenges.

This study will help library professionals and decision makers to devise information literacy instruction programs according to the users' needs. The results of this study will also open new horizons for system designers to devise mobile-based PIM tools according to users' needs.

The COVID-19 pandemic has caused significant disruptions to global supply chains (SCs), affecting the production, distribution, and transportation of goods and services. To mitigate these disruptions, it is essential to identify the barriers that have impeded the seamless operation of SCs. This study identifies these barriers and assesses their impact on supply chain network (SCN).

To determine the relative importance of different barriers and rank the affected industries, a hybrid approach was employed, combining the best-worst method (BWM) and the technique for order preference by similarity to an ideal solution (TOPSIS). To accommodate the inherent uncertainties associated with the pandemic, a triangular fuzzy TOPSIS was used to represent the linguistic variable ratings provided by decision-makers.

The study found that the airlines and hospitality industry was the most affected by the barriers, accounting for 46% of the total, followed by the healthcare industry (23%), the manufacturing industry (19%), and finally the consumer and retail industry (17%).

This study is limited to the four critical industries and nine identified barriers. Other industries and barriers may have different weights and rankings. Nevertheless, the findings offer valuable insights for decision-makers in SC management, aiding them in mitigating the impact of COVID-19 on their operations and enhancing their resilience against future disruptions.

This study enhances understanding of COVID-19’s impact on SCN and provides a framework for assessing disruptions using multi-criteria decision-making processes. The hybrid approach of BWM and TOPSIS in a fuzzy environment is unique and offers potential applicability in various evaluation contexts.