Search results

This study in Iran examined the role of internal and external psychological factors that affected green purchase intention. Moreover, it examined these variables' direct and indirect effects and green purchase intention on green purchase behavior.

An extended version of the theory of planned behavior (TPB) was employed, based on which a theoretical model was designed to reach the authors’ aim. An online questionnaire was used to collect data. For data analysis, confirmatory factor analysis, structural equation modeling, the bootstrapping method and the Preschool Language Scale (PLS) product-indicator approach were conducted to test the proposed conceptual model.

Results show that self-identity, self-interest, self-efficacy and a growth mindset have a positive impact on green purchase intention. However, the study found no predictive effect from peer influence and warm glow. In addition, self-efficacy and green purchase intention significantly affect green purchase behavior. The study reveals that green purchase intention substantially mediates the relationship between self-interest, growth mindset, warm glow and green purchase behavior. Further, warm glow moderates the impact of peer influence, self-identity and self-efficacy on green purchase intention. This study emphasizes the critical role of dispositional factors on green purchase intention and behavior.

Few studies consider the effect of the individual self, a growth mindset, a warm glow and peer influence on green purchase intention simultaneously. In addition, the authors introduced a different version of the TPB model. Further, this research also conducted how these variables, directly and indirectly, affect green purchase behavior.

Few marketing studies have studied consumer mindsets about sustainable products in developing countries. This paper examines the influence of fixed and growth mindsets on buying sustainable foods in Iran.

To reach this goal, the authors designed a conceptual model and specified hypotheses. A non-probability survey of 622 people was conducted through a multistage cluster random sampling from two provinces in north Iran: Gilan and Mazandaran. Data were collected through a face-to-face questionnaire. A chi-square test, confirmatory factor analysis, structural equation modelling, the bootstrapping method and the PLS product-indicator approach were used for analyses.

Results show that fixed and growth mindsets have a positive impact on buying sustainable foods. In addition, these two mindsets have a significant effect on consumers' health concerns and warm glow. The study demonstrates that health concerns, environmental values and convenience orientation mediate the relationship between growth mindset and sustainable shopping. However, for a fixed mindset, environmental values are not a mediator. Further, peer influence significantly moderates the effect of both mindsets and motivational variables—environmental values, convenience orientation and warm glow—on purchasing sustainable foods. This study emphasises the critical role of peer influence and motivation factors, including health concern, convenience and warm glow, on purchasing sustainable foods.

This research introduces a new framework concerning consumer behaviour, in particular, consumer psychology towards buying sustainable foods.

This study aims to systematically review the economic complexity literature to advance the knowledge on its contribution to building regional competitiveness.

In this study, we did a systematic review of 111 relevant papers. In this regard, we did a thematic analysis on all the collected papers, which led to a two-level processed approach. In the first level, the contributions of the reviewed articles have been classified into three main streams. In the second level, the findings under each contribution category are analyzed and explained. This approach led to a thematic network demonstrating economic complexity and the dynamics of regional competitiveness and a set of managerial and policy implications. We followed a multiple processed approach for the systematic review of 95 papers that reveals considerable contributions in three categories, including measurement techniques, criticisms and exploratory studies.

Despite some critiques and the undertaken evolution in measurement techniques of complexity, economic complexity has become a well-known method mainly for regions' competitiveness dynamics. Our review demonstrates a nested network of economic complexity dynamics that drives policy advice concerning countries' status in their development path. The provided set of policies includes guidelines for underdeveloped and developing countries and general policy implications, applicable for all regional contexts for building competitiveness dynamics.

This research contributes to the literature on competitiveness from the window of economic complexity. The study allows a deep understanding of regions' productive structure role in their development and competitiveness. A set of policies for building regional competitiveness is provided concerning the study's findings. The literature gaps are identified, and future research ideas are provided for using economic complexity methodologically and logically to boost regional competitiveness.

Ensuring the sufficient service level is essential for critical materials in industrial maintenance. This study aims to evaluate the use of statistically imperfect data in a stochastic simulation-based inventory optimization where items' failure characteristics are derived from historical consumption data, which represents a real-life situation in the implementation of such an optimization model.

The risks of undesired shortages were evaluated through a service-level sensitivity analysis. The service levels were simulated within the error of margin of the key input variables by using StockOptim optimization software and real data from a Finnish steel mill. A random sample of 100 inventory items was selected.

Service-level sensitivity is item specific, but, for many items, statistical imprecision in the input data causes significant uncertainty in the service level. On the other hand, some items seem to be more resistant to variations in the input data than others.

The case approach, with one simulation model, limits the generalization of the results. The possibility that the simulation model is not totally realistic exists, due to the model's normality assumptions.

Margin of error in input data estimation causes a significant risk of not achieving the required service level. It is proposed that managers work to improve the preciseness of the data, while the sensitivity analysis against statistical uncertainty, and a correction mechanism if necessary, should be integrated into optimization models.

The output limitations in the optimization, i.e. service level, are typically stated precisely, but the capabilities of the input data have not been addressed adequately. This study provides valuable insights into ensuring the availability of critical materials.

This study aims to examine the young Malaysian consumers’ switching intention from synthetic to biodegradable plastics. This research shows the factors affecting young Malaysian consumers’ switching intention towards biodegradable plastic rather than traditional plastic (synthetic plastics). In this study, there are three factors to be considered whether they influence the young consumers in Malaysia to change their intention towards biodegradable plastic. The three factors are environmental concern, knowledge and the perceived value of biodegradable plastic. However, biodegradable plastic’s switching intention is also affected by biodegradable plastic’s attitude, where the three factors influence this attitude. Thus, all variables are considered in this research to investigate the reasons for switching intention from synthetic to biodegradable plastics among young Malaysian consumers.

In line with the recent economic growth, especially in developing countries, human concern for the environment has increased over time. This paradigm shift has influenced Malaysians to pay more attention to the issues related to synthetic plastics, especially in Malaysia itself. To reduce the use of synthetic plastic in Malaysia, this research is conducted to identify the young consumer’s behaviour in Malaysia towards the use of biodegradable plastics. In this study, the theory of planned behaviour (TPB) is broadened into three additional factors that potentially enhance the young consumer’s attitude and increase switching intention towards biodegradable plastics: environmental concern, knowledge and perceived value. The data were collected using a structured questionnaire via an online survey method. The structural equation modelling with SmartPLS 3 was used to analyse the data from a total of 162 respondents. The study’s key findings confirmed that switching intention towards biodegradable plastics is significantly influenced by environmental concern, perceived value, and attitude. This study also provided empirical evidence that the attitude acts as a mediator for the relationship between environmental concern and perceived value towards the switching intention. These results could help the government establish a new policy to encourage citizens to use biodegradable plastics while reducing environmental pollution.

The study’s key findings confirmed that switching intention towards biodegradable plastics is significantly influenced by environmental concern, perceived value and attitude. Furthermore, this study extends the TPB to include the intention to switch from synthetic to biodegradable plastics, where attitudes towards the environment, environmental concern and perceived value all have an impact on the intention to switch from synthetic to biodegradable plastics in the first place. As an additional contribution to the existing body of knowledge, this study provides empirical data about the variables influencing decision-makers’ intentions towards the transition from synthetic to biodegradable plastics. The findings of this study may also be useful for future research by academic institutions, the Department of Research and Development and the government. As a result, this research is important for future academics who want to better understand the intentions of young Malaysian consumers when it comes to biodegradable plastics.

This research might provide direction to a firm considering implementing a new business strategy to develop creative and sustainable products that will contribute to the protection of the environment. More importantly, this research contributes to improving government policy and regulation in environmental preservation by integrating environmental knowledge and attitude into Malaysian cultural practices. Also possible are even greater levels of environmental awareness and environmentally friendly activities on the part of the government and the commercial sector, such as various initiatives and events to encourage green and environmentally friendly purchasing habits. As a result, given that sustainability has emerged as one of the most pressing issues facing society today, this research is important in that it provides insights for stakeholders (policymakers, marketers and others) to strategise the government’s plan to reduce the use of synthetic plastics and promote the use of biodegradable plastics. As the analysis of consumer behaviour is one of the most important aspects of improving the profitability of businesses, the collaboration between marketing and the research and development department to examine consumer behaviour is extremely important to meet the needs of consumers. This research could serve as a reference for them during the decision-making process, particularly in the plastics industry, which is highly recommended. Aside from that, the findings of the study may be used as a guide for the government in developing new policies to attain the objective of sustainable development in the future. As a result, it can aid in introducing environmentally friendly products and raising public knowledge about them.

Organic food consumption decreases the risk of becoming obese or overweight. This study intends to see the influence of customer perceived value, COVID-19 fear, food neophobia, effort and natural content on the intention to purchase organic food (IPOF) that leads to the actual purchase of organic food (APOF). Moreover, organic food availability is a moderator between IPOF and APOF.

PLS-SEM is used for hypothesis testing. A purposive sampling technique was followed to gather data from organic food consumers in Lahore, Gujranwala and Islamabad and a total of 479 questionnaires were part of the analysis.

The outcomes show that customer perceived value, effort and natural content is positively related to IPOF. Despite this, COVID-19 fear and food neophobia are negatively associated with IPOF. IPOF and organic food availability are positively related to APOF. Finally, organic food availability significantly moderated between IPOF and APOF.

This study outcome reveals that companies of organic food can recognize customer perceived value, COVID-19 fear, food neophobia, effort, natural content and organic food availability in their decision-making if they determine the actual purchase of organic food. This study offers a valuable policy to companies of organic food to enhance customer’s behavior in purchasing organic food in Pakistan. Besides, practitioners and academicians can benefit from this study finding.

This initial research integrates customer perceived value, COVID-19 fear, food neophobia, effort, natural content, IPOF and organic food availability to determine APOF in the COVID-19 pandemic. Moreover, consumption value theory is followed to develop the framework.

This study proposes a model that influences customer citizenship behavior during COVID-19, and empirically tests the effects of fast-food restaurant customers' perceptions of justice (price and procedural justice) on trust; trust on satisfaction and loyalty; and trust, satisfaction and loyalty on customer citizenship behavior. Furthermore, it was questioned whether there was a disparity between customer expectations based on the restaurant's image and consumption experience.

The data were gathered from customers of fast-food restaurants in the shopping centers in Turkey. The data set, which included 437 valid questionnaires, was subjected to CFA for validity and reliability, SEM analysis for hypothesis and paired sample t-Tests for the research questions.

The findings of the study indicate that perceived justice affects customer trust, which, consequently, affects customer loyalty and satisfaction during the COVID-19 period. Findings also demonstrate that, while customer loyalty and trust increase customer citizenship behavior, customer satisfaction alone is insufficient to increase customer citizenship behavior. The study also shows that during the COVID-19 period, fast-food restaurants should have raised awareness of employees’ fair behaviors toward the customers and provided additional services to differentiate themselves in the market. Also, it indicates that customer expectations related to price, cleanliness and professional appearance of staff are not met after taking service.

No research has been found in the literature focusing on the expectations, justice, trust, satisfaction, loyalty and citizenship behaviors of fast-food restaurant customers in the COVID-19 pandemic process. Therefore, the results can fill the gap in relevant literature by testing the relationships between justice, trust, satisfaction, loyalty and citizenship during the pandemic and provide inferences for fast-food business owners.

This study aims to identify and describe the relationships among different consumption values, anxiety and organic food purchase behaviour considering the moderating role of sustainable consumption attitude from the viewpoint of the theory of consumption values.

Data were collected using a structured questionnaire survey in first-tier cities in China. A total of 344 consumers of organic foods participated in the study. Structural equation modelling and hierarchical regression analysis were employed for data analysis.

The results indicated the significant association of functional value-price, emotional value, social value and epistemic value with purchase behaviour. Anxiety had a positively significant influence on functional (quality), functional (price), emotional, social, conditional and epistemic values. In addition, the results indicated that functional (price), emotional, social and epistemic values played mediating effects in the relationships between anxiety and purchase behaviour. Moreover, sustainable consumption attitude had a positive moderating effect on functional value-price and purchase behaviour.

The research not only provides novel and original insights for understanding organic consumption but also provides a reference for organic retailers to develop sales strategies and policymakers to formulate policies to guide organic consumption that are conducive to promoting sustainable consumption.

For the first time, this research attempts to explore the relationships among different consumption values, anxiety and purchase behaviour. It may improve the gap of inconsistency in attitude and behaviour in organic consumption, and provide a new perspective for the study of organic consumption.

This study aims to investigate the spatial distribution of housing prices and identify the affecting factors (independent variable) on the cost of residential units (dependent variable).

The method of the present study is descriptive-analytical and has an applied purpose. The used statistical population in this study is the residential units’ price in Tehran in 2021. For this purpose, the average per square meter of residential units in the city neighborhoods was entered in the geographical information system. Two techniques of ordinary least squares regression and geographically weighted regression have been used to analyze housing prices and modeling. Then, the results of the ordinary least squares regression and geographically weighted regression models were compared by using the housing price interpolation map predicted in each model and the accurate housing price interpolation map.

Based on the results, the ordinary least squares regression model has poorly modeled housing prices in the study area. The results of the geographically weighted regression model show that the variables (access rate to sports fields, distance from gas station and water station) have a direct and significant effect. Still, the variable (distance from fault) has a non-significant impact on increasing housing prices at a city level. In addition, to identify the affecting variables of housing prices, the results confirm the desirability of the geographically weighted regression technique in terms of accuracy compared to the ordinary least squares regression technique in explaining housing prices. The results of this study indicate that the housing prices in Tehran are affected by the access level to urban services and facilities.

Identifying factors affecting housing prices helps create sustainable housing in Tehran. Building sustainable housing represents spending less energy during the construction process together with the utilization phase, which ultimately provides housing at an acceptable price for all income deciles. In housing construction, the more you consider the sustainable housing principles, the more sustainable housing you provide and you take a step toward sustainable development. Therefore, sustainable housing is an important planning factor for local authorities and developers. As a result, it is necessary to institutionalize an integrated vision based on the concepts of sustainable development in the field of housing in the Tehran metropolis.

Green brands are those brands that obtain attributes and benefits related to the reduction of the brands’ environmental impact. Green brand love is a very important issue for marketing managers. One of the main reasons for this degree of importance is because of the many positive outcomes that green brand love will have for organizations. The purpose of this paper is to evaluate the effect of green brand image, trust and attitude on green brand love among Muslim consumers.

In this study, a cross-sectional survey is conducted based on the questionnaire method to collect data from a sample of 201 consumers of various automobile brands in Isfahan, Iran. Structural equation modeling is used to test the research hypotheses.

The findings show that green brand image has a significant direct effect on green brand attitude, love and trust. In addition, the results indicate that green brand attitude and trust have a significant direct effect on green brand love.

Considering the importance of the issue of automobility and environmental harm, this paper offers new insights to marketing managers of the automotive industry in Iran.

This study is among the first to explore the effect of green brand image, trust and attitude on green brand love.