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Quality of life is dependent on a healthy lifestyle and the self-care behavior of individuals. The study's purpose is to find out the determinants of individuals' self-care behavior. As such, self-care behavior is influenced by several factors that include individual knowledge, available information sources and their use, information-seeking related skills and cognitive state.

A quantitative research design followed using a questionnaire-based survey method. A total of 384 responses from the Pakistani public were collected using the convenience sampling technique. Structural equation modeling (SEM) was performed for examining the possible link between the variables.

Health literacy, Internet and social media use, and health information-seeking behavior had a direct/indirect positive impact on self-care behavior, but health anxiety had a negative impact. Health literacy and health information-seeking behavior positively mediated the relationship among Internet and social media use health anxiety and self-care.

Improving health literacy appears to be key to supporting better self-care, but it is an exploratory study, more research is required to confirm these findings. Policymakers, health professionals and information professionals should work together to improve health literacy and support informed self-care among the population.

Thus far, no previous study has examined the collective role of social media exposure, health anxiety, health literacy and health information-seeking behavior as predictors of self-care behavior. Although self-care behavior among the general population might be different compared to chronic patients, only few studies have examined the former as a unit of analysis.

This study aims to observe the coloring efficacy of coffee-based natural brown colorant for cotton dyeing under microwave (MW) treatment.

The colorant extracted in particular (neutral and acidic) media was stimulated by MW treatment up to 6 min. Dyeing variables were optimized and 2–10 g/100 mL of sustainable anchors (mordants) have been used to get colorfast shades.

It has been found that un-irradiated acidic extract (RE) containing 5% of table salt at 80 °C for 50 min has given high color yield onto MW-irradiated cotton fabric (RC = 2 min). The utilization of 2% of Fe, 10% of tannic acid and 10% of sodium potassium tartrate before bio-coloration, whereas 4% of Fe, 10% of tannic acid and 6% of sodium potassium tartrate after bio-coloration has given good color characteristics. In comparison the application of 6% of pomegranate and turmeric extracts before bio-coloration and 6% of pomegranate and 10% of turmeric extracts after bio-coloration have given good color characteristics. New bio-mordants can be added to get more new colorfast shades.

There is no research limitation for this work. New bio-mordants can be added to get more new colorfast shades.

This work has practical application for artisans, textile industry and handicrafts. It is concluded that colorant from coffee beans can be possible alternative of synthetic brown dyes and inclusion of MW rays for extraction and plant molecules as shade developers can make process more green.

Socially, it has good impact on eco-system and global community because the effluent load is not carcinogenic in nature.

The work is original and contains value-added product for textiles and other allied fields.

Similarly, Zhu et al. (2014) and Zhang et al. (2014) stated that addressing privacy concerns with the recommendation process is necessary for the healthy development of app recommendation. Recently, Xiao et al. (2020) mentioned that a lack of effective privacy policy hinders the development of personalized recommendation services. According to the reported work, privacy protection technology methods are too limited for mobile focusing on data encryption, anonymity, disturbance, elimination of redundant data to protect the recommendation process from privacy breaches. So, this situation motivated us to conduct a systematic literature review (SLR) to provide the viewpoint of privacy and security concerns as mentioned in current state-of-the-art in the mobile app recommendation domain.

In this work, the authors have followed Kitchenham guidelines (Kitchenham and Charters, 2007) to devise the SLR process. According to the guidelines, the SLR process has three main phases: (1) define, (2) conduct the search and (3) report the results. Furthermore, the authors used systematic mapping approach as well to ensure the whole process.

Based on the selected studies, the authors proposed three main thematic taxonomies, including architectural style, security and privacy strategies, and user-usage in the mobile app recommendation domain. From the studies' synthesis viewpoint, it is observed that the majority of the research efforts have focused on the movie recommendation field, while the mainly used privacy scheme is homomorphic encryption. Finally, the authors suggested a set of future research dimensions useful for the potential researchers interested to perform the research in the mobile app recommendation domain.

This is an SLR article, based on existing published research, where the authors identified key issues and future directions.

Organizations worldwide are integrating sustainability into their operations to reduce the damage they do to the environment and to earn a better reputation in society. Scholars have acknowledged the role of environmental transformational leadership (ETL) in creating pro-environmental behaviors (PEBs). The manufacturing sector has shown interest in accepting an environmental management system (EMS) and fostering a mechanism for what is called perceived support organizational support for the environment (POSE). Voluntary PEBs taking the form of organizational citizenship behavior toward the environment (OCBE) increasingly interests researchers because it is important for the success of the EMS in the manufacturing sector. This study aims to investigate the mediating role of the EMS and POSE in the relationship between ETL and OCBE within ISO14001-certified Malaysian manufacturing firms.

A quantitative design was used based on a positivist approach. The data of 216 manufacturing firms were targeted using random probability sampling via a survey questionnaire. Later, the data were analyzed through the structural equation modeling (SEM) method using the SmartPLS 3.3.3 software.

Research findings confirmed a significant direct positive relationship between ETL and OCBE. Also, they confirmed the mediating role of the EMS and POSE in the relationship between ETL and OCBE among ISO14001-certified Malaysian manufacturing firms.

This research has vital ramifications for both managers and organizations. Manufacturing firms should modify the traditional OCB towards pro-environmental OCBE using key antecedents, e.g. ETL, EMS and POSE.

The study analyzed the impact of ETL on OCBE through the mediating role of PSOE and the EMS. Here the focus is on the impact of OCBE key antecedents, i.e. ETL, EMS and POSE in predicting OCBE among ISO14001-certified Malaysian manufacturing firms.

Entrepreneurship is a vital source of job creation and a key driver in promoting economic growth. The Malaysian government encourages higher educational institutions (HEIs) to develop more competitive and innovative graduates for the economy so that Malaysia achieves high-income nation status by 2025. This study aims to investigate the mediating role of attitude toward entrepreneurship (ATE) in the relationship between key psychological factors, that is, subjective norm (SN), perceived behavior control (PBC), big-five (BF) personality traits, entrepreneurial motivation (EM) and educational factors (EFs) with entrepreneurial intention (EI) among Malaysian university students.

This study used a quantitative design based on a positivist approach. The adopted questionnaire was used as the survey instrument. The primary data were collected from a sample of 251 final-year students in the management field who were enrolled in research-intensive Malaysian universities. Data were analyzed through the structural equation modeling (SEM) technique using AMOS 24 software.

Findings confirmed that the BF personality traits, EM, PBC, SN, ATE and EFs were positively related to EI. Furthermore, ATE mediated the relationship between BF personality traits, EM, PBC, SN, EF, and EI among Malaysian university students.

This research provides critical insights into the key antecedents, for example, psychological and EFs, in explaining the EI of university students and future graduates. However, results can only be generalized to research-intensive Malaysian universities.

This study investigated the relationship between psychological factors, that is, BF personality traits, EM, PBC, SN and EFs in predicting EI of Malaysian university students. ATE mediated the relationship between BF personality traits, EM, PBC, SN, EF and EI among these students.

Organizational citizenship behavior for the environment (OCBE) is vital for manufacturing firms' ability to improve their triple bottom line (TBL) performance. This study's objective was to examine the direct relationship between three OCBE key dimensions, i.e. eco-initiatives (EIs), eco-civic-initiatives and eco-helping (EH) and TBL performance, i.e. economic (ECOP), social (SOP) and environmental (ENP).

The quantitative design was used based on the positivist approach. A sample of 350 manufacturing firms was targeted using random probability sampling via a survey questionnaire. The data were analyzed through the structural equation modeling (SEM) technique employing AMOS 24 software.

Research findings confirmed a significant direct positive relationship between components of OCBE, i.e. EIs, eco-civic- initiatives and EH and TBL performance within ISO14001-certified Malaysian manufacturing firms.

This research presents vital implications for both managers and organizations. The findings revealed that the three OCBE key dimensions, i.e. (EIs, eco-civic-initiatives and EH) are essential for enhancing TBL performance (ECOP, SOP and ENP), respectively. Manufacturing firms should modify the traditional OCB toward pro-environmental OCBE to improve TBL performance.

This research focuses on the impact of OCBE key types, i.e. EIs, eco-civic-initiatives and EH on TBL performance (ECOP, ENP and SOP) dimensions among ISO14001-certified Malaysian manufacturing firms.

This study aims to explore the role of green motive (GM) and green dynamic capabilities (GDC) in green innovation (GI) through green value co-creation (GVC). Moreover, this study investigates the moderation of top management support (TMS) to strengthen the mediation of specific constructs; GM, GDC, green value co-creation (GVC) and green innovation (GI).

In total, 337 respondents (executive level/chief executive officer (CEO)) of service organizations were approached using a convenience sampling technique to collect the data through the survey method. Of these, 294 (87% response rate) duly filled responses were used in the final data analysis. In SPSS (Statistical Package for Social Sciences) v-23, the Process Macro-Hayes was used to evaluate the study's conceptual framework empirically.

The study revealed that TMS strengthened the mediation framework of GM, GDC, GVC and GI. Moreover, all hypotheses related to direct and indirect associations of specific constructs used in the theoretical framework were statistically significant and proved.

The comprehensive framework for GI of service organizations, primarily in the context of developing countries like Pakistan, is deficient in literature. This study helps service organizations by providing a comprehensive GI model to put a central focus on the transformation of management philosophy and working approach for achieving GI in the services structure.

This study aims to examine the impact of employees' satisfaction with human resource management (HRM) practices (i.e. training satisfaction, performance appraisal satisfaction and pay satisfaction) on work engagement and subsequently employee turnover intentions. The mediating role of work engagement between employee satisfaction with HRM practices and turnover intentions is also assessed.

Data were collected from Malaysian oil and gas (O&G) professionals. A total of 442 useable questionnaires were obtained for the final data analysis. Partial least squares structural equation modeling (PLS-SEM) was performed to test the hypothesised relationships.

The findings indicate that training satisfaction and performance appraisal satisfaction are the key drivers of employee engagement at work. Work engagement in turn has a negative impact on employee turnover intentions. Furthermore, work engagement mediates the relationship between employees' satisfaction with HRM practices (i.e. training satisfaction and performance appraisal satisfaction) and turnover intentions. Nevertheless, it did not have any mediating effect on pay satisfaction and turnover intention.

Training plans should be designed to make the relevant jobs more attractive and fulfilling, thus increasing employees' level of work engagement. Besides, ensuring that the appraisal system is fair is pivotal to work engagement. Work engagement will cultivate a strong sense of emotional attachment between employees and employers, thus reducing the turnover intention of Malaysian O&G professionals.

To date, little has been done on employees' satisfaction with HRM practices with respect to their attitudinal and behavioural outcomes. The present study enhances our understanding of the importance of employees' satisfaction with HRM practices and its relation to employees' work engagement and turnover intentions.

The purpose of this research paper is to predict sustainability-driven entrepreneurship intention among university students in the developing market (Pakistan).

The target population of this study was university students in Pakistan. According to UNDP (2017) report, Pakistan has the largest youth population. More than 64% of the total population (210 million) is below 30 years of age. If trained properly, this huge chunk of the population could become a source of intellectual capital for the development of the nation. The quota based on age sampling technique was used to collect the data from university students in Karachi because more than 64% of the Pakistan population is below 30 years of age.

The findings reveal that university entrepreneurial support has a strong influence on attitude toward sustainable entrepreneurship and entrepreneurial self-efficacy.

The role of university entrepreneurial support, environmental concern and students’ entrepreneurial self-efficacy are vital factors in sustainability-driven entrepreneurship. This study enriches the literature of green entrepreneurship helping to understand university students’ intention for sustainable entrepreneurship. The outcome of this study would help strategists and environmental academicians to guide university students regarding the launch of sustainable ventures.

To the best of authors’ knowledge, this is one of the first studies to explore the effects of environmental concern on entrepreneurial intention among university students in the context of a developing country – Pakistan.

Despite the increasing popularity of natural dyeing of textiles, the low substantivity between the fibers and the natural dyes is a problem. Several methods have been used to overcome this problem. In this study, wool fibers were pretreated with oxygen plasma under different conditions and dyed with the extract of grape leaves. The purpose of this study is to investigate the effects of plasma treatment parameters on the color strength of the dyed samples using artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) and evaluate the ability of these methods for predicting the color strength.

Woolen yarns were modified under different conditions of oxygen plasma treatment. Oxygen flow rate, power and time were considered as the treatment variable factors. Plasma-treated samples were dyed under constant conditions with the extract of grape leaves as a natural dye. ANN and ANFIS were applied to model and analyze the effect of plasma treatment parameters on the color strength of the dyed samples.

The results showed that increasing all the plasma treatment process variables, including oxygen flow rate, power and time increased the color strength of the dyed samples. The results showed that the developed ANN and ANFIS could accurately predict the experimental data with correlation coefficients of 0.986 and 0.997, respectively. According to the obtained correlation coefficients, ANFIS had a higher accuracy in prediction of the results of this study compared with the ANN and RSM models (correlation coefficient = 0.902, from our previous study).

This study uses ANN and ANFIS for predicting color strength of naturally dyed textiles for the first time. The use of computational intelligence for the optimization and prediction of the effects plasma treatment for the improvement of natural dyeing of wool is another novelty of this study.