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Evolving internet technology has brought about changes in consumer lifestyle and increased online shopping. Grounded in the theory of technology readiness (TR), this study aims to examine the effect of factors such as optimism, innovativeness, insecurity, and discomfort that may motivate consumers' adoption intentions towards online food delivery ordering (OFDO) services. Additionally, this study intends to investigate the moderating role of situational influences (COVID-19) in affecting such an online behavior. By using survey methods, a total of 439 usable responses were gathered through an online survey. Data were analyzed by using Partial least square (PLS) and multigroup analysis (MGA) techniques. The results revealed that optimism and innovativeness have positive influences on adoption intentions while insecurity and discomfort have negative influences on adoption intentions in the use of OFDO services. The results also supported the moderating role of situational influences such as the COVID-19 pandemic. Furthermore, the PLS-MGA results indicate that the effects of optimism and innovativeness are stronger in demographic variables, i.e., young, male, high income, high education, etc. On the contrary, the effects of insecurity and discomfort are stronger for the opposite, i.e., elder, female, low income, low education, etc. Finally, this paper depicts remarkable insights for researchers, practitioners, service providers, and marketers. [ABSTRACT FROM AUTHOR]

Increasing haze pollution and its adverse effects on human health is pressuring academics and practitioners to search for different solutions for environmental sustainability around the world. Similar to other countries, Pakistan is also affected by air pollution, and smog has become a fifth season. In Pakistan, one of the main reasons of smog and air pollution is hazardous emissions from vehicles. As a result, the booming automobile industry of Pakistan is now affected by two major challenges: sustainable product development and organizational performance. To meet these challenges, the study has developed a conceptual model to find the effect of big data analytics on organizational performance by adopting a sustainable development program. For the elimination of standard method biases, the study has used a time lag approach to collect the data in three waves and receive 372 usable responses. The empirical results of PLS-SEM suggest that big data analytics have a positive effect on a sustainable product development and sustainable product development has a positive and significant impact on organizational performance. Moreover, mediation of a sustainable program development is also confirmed between big data analytics and organizational performance. The managerial and theoretical implications of these results are discussed. [ABSTRACT FROM AUTHOR]

Objective: The current study was conducted to determine whether people will keep practicing physical distancing behavior as part of their daily lives after the end of the COVID-19 pandemic. Materials and Methods: A structured questionnaire was prepared online using "Question Pro" software for surveys, and the study was conducted electronically. The questionnaire for the study had two components, the first was related to the participant's demographics, and the other was about physical distancing questions. There were 16 questions in total. Results: Women were more fearful/careful and would want to limit socializing than men. The religious aspect is one primary reason people will be willing to avoid physical distancing. Physical distancing was more acceptable to people with higher education levels. This physical distancing trend might affect the public transportation and tourism industry. Conclusion: This study showed that the female gender and population with higher education are willing to follow better adherence to SOPs of the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

The study was conducted to know whether bulk inflow of Non Emergency Calls (NECs) acts as an independent predictor for depression in call handlers of Rescue 1122, Punjab, Pakistan. Forty five (45) call handlers were recruited from evening shift of 9 districts. Similarly, same-sized control group was made out of field rescuers. The groups were compared for rate and severity level of depression using Beck's Depression Inventory-II (BDI-II; Beck, Steer, & Brown, 1996). Probable predictors (except workplace stress) for depression in call handlers were evaluated through risk estimates. For workplace stress, a purposefully developed closeended Workplace Stress Questionnaire including two subscales i.e. Non Emergency call and Control Room Environment of 30 items each was administrated. Twenty nine (64.4%) subjects of study group reported depression on BDI. Consequently, the same group had significantly higher mean depression score than control (18.2 vs. 12.6; p = .00). The scores also showed insignificant association with any of the probable predictors (demographic variables) of the call attendees. The respondents perceived more occupational stress against NECs. The findings attract the attention of authorities towards the severity of the concern. [ABSTRACT FROM AUTHOR]