The looming threat of climate change has become an undeniable harsh reality. Inefficient energy consumption is one of the major causes of this threat. Protecting the aquatic and terrestrial environment by reducing carbon footprints is a shared responsibility. In this pursuit, the contribution of household sector is extremely valuable and use of energy-saving products can be helpful to epitomize the goal of achieving sustainability. This study aims to investigate the determinants of consumers’ intention to purchase energy-saving household products by integrating the Theory of Planned Behavior (TPB) and Technology Readiness Index (TRI) 2.0’s four indicators (optimism, innovativeness, discomfort and insecurity). This study applied a hypo deductive research approach. Using cross sectional data, a total 396 valid questionnaires were collected to validate the proposed hypothesis by using Partial Least Square (PLS) path modeling approach (a variance based SEM technique). Results showed that contributors of technology readiness positively influence residents’ attitude towards their buying intention, while inhibitors of technology readiness negatively affect this relationship. Further, attitude and perceived behavioral control were found to be significant determinants of intention to purchase energy-saving household products. Based on the above research findings, implications for marketers and policy makers are discussed, moreover future research directions are suggested.

For the attainment of sustainable development, the e-government phenomenon has become more imperative with its incremental implementations worldwide. In government organizations, e-government services are considered a valuable tool for the delivery of substantial and timely services to the public. Furthermore, the user’s intention plays a pivotal role in the success of e-government services. The existing research aims to examine the antecedents of the intention to use e-government among the employees of the public universities in Pakistan. The decompose theory of planned behavior (DTPB) model was enriched with the extension of the factor trust and its decomposition by relational bonds. Trust with the support of relational bonds is an effective instrument to build long term relationships, limit the anxiety of the users, and increase behavioral intention. A total of 396 valid responses were collected using the simple random sampling technique from the employees of public universities and responses were evaluated with the SEM. The results indicated that trust and its antecedents (economic bonds, social bonds, and structural bonds), attitude and its antecedents (performance expectancy, effort expectancy), subjective norms and their antecedents (mass media influence, family influence), perceived behavioral control and its antecedents (self-efficacy) have significant and positive effect on intention. However, perceived risk and facilitating condition have insignificant influence on attitude and perceived behavioral control, respectively.

Over the last decades, prompt economic growth and the resulting overconsumption has deteriorated the environment in an accelerated way. This environmental deterioration has prompted academicians and practitioners to study ecological consumption behavior. E-waste and energy consumption play a major part in this environmental deterioration, which makes consumer conscious regarding their consumption pattern. In this regard, the emergence of green Information Technology (IT) enables individuals to become involved in environmental protection and sustainability programs to reduce the negative impact of IT products on the environment. This study aims to investigate individual intentions to adopt green IT products in Pakistan by the theoretical foundation of the theory of consumption values (functional value, social value, epistemic value, emotional value, and conditional value). Whereas, an additional value, i.e., the religious value, is included in the model, due to its significant impact in green consumption behavior of individuals. Cross-sectional data is used to obtain a total of 536 valid questionnaires to test the hypothesis. The Partial Least Square Modeling approach is used to test the proposed model (variance-based SEM). The results infer that functional value, social value, epistemic value, emotional value, conditional value, and religious value have significant positive impact on the consumer intention to adopt green IT products. The reasons for the results and implications for the practitioners are discussed. Furthermore, directions for future research have also been suggested.

Electronic/electrical waste (e-waste) has now become a global concern due to its negative impact on the environment and health. This negative effect of e-waste is increasing with the advancement in the electronics industry, especially in Pakistan, which is the leading e-waste disposal destination. Therefore, this study aims to find consumer choice behavior regarding green electronics in Pakistan. For this purpose, a multidimensional modified green perceived model (functional value quality, functional value price, social value identity, social value responsibility, emotional value, and conditional value) is used. Cross-sectional data is collected from 237 consumers through a self-administrative questionnaire. The results of variance-based structural equation modeling (SEM) (partial least squares (PLS)-SEM) suggested that functional value price, quality, social value identity, responsibility, emotional value, and conditional value positively and significantly influence the consumer choice behavior regarding green electronics. the possible reasons for the findings and the implications for managers and policymakers are discussed. Limitations of the study and future research directions are also suggested.

Non-communicable diseases have increased globally, forcing consumers to consider their diets. One of the greatest diets to minimize NCDs is dairy products, but researchers have paid little attention to consumer buying intentions, especially in underdeveloped countries like Pakistan. As a result, researchers in Pakistan looked into how distinct utilitarian and hedonic attributes of dairy products influenced customer intentions. A cognitive-affective attitude approach based on the SOR model was used to construct a comprehensive conceptual model to better comprehend customers’ intentions about dairy products. Students at the university were given a self-administered questionnaire. In order to evaluate the hypotheses, a sample of 411 customers was analyzed using PLS-SEM. Results revealed that utilitarian and hedonic attributes positively influence consumers’ cognitive and affective attitudes, which ultimately leads to consumer purchasing intention to buy dairy products in Pakistan. This research depicts some unique insights for dairy product producers, marketers, and researchers.