Search results

Food supply chain (FSC) in Greece is dominated by small and medium-sized enterprises (SMEs), who face several challenges in adopting green practices. The purpose of this paper is to identify the key drivers and barriers influencing the environmental performance of SMEs within the Greek dairy supply chain (SC).

Descriptive research methodology attempts to prioritize the drivers and barriers for improving the environmental sustainability performance. Analytical hierarchy process and sensitivity analysis are used to understand the complex nature of the influencing factors.

The analysis identifies five barriers and six drivers for the implementation of green practices within the dairy SC. While external drivers significantly influence the market structure and logistics network, government, competitors and customers are the driving factors for improving environmental performance.

The study contributes to filling the literature gap on key factors influencing the implementation of green practices within the FSC. The identified influential factors will contribute toward building a framework for improving sustainability performance within the Greek dairy SC.

The study is expected to benefit the Greek and European SMEs by driving their environmental practices within the perishable SC network.

The paper provides directions for researchers, practitioners and policy makers in understanding the challenges for implementing green practices in the dairy SC. The holistic approach followed in this paper is a building block for a conceptual framework on implementing environmental sustainability within the FSC. Apart from contributing to the current literature by extending the research horizon to SMEs’ green adoption capability, this study also provides better understanding of the pivotal role of internal and external key factors in influencing sustainability performance.

The purchase of green products is not the finale of green consumer behaviour but the environmental concern is crucial in post-purchase behaviour. Studies on pro-environmental purchase behaviour are abundant and but studies on environmental concern in use, evaluation and disposal are scarce. This paper aims to examine the pro-environmental factors influencing post-purchase behaviour and their impact on green consumer behaviour.

Data for this study was collected from the respondents with the help of a structured questionnaire. Data is analysed using factor analysis to examine the important factors influencing post-purchase variables and green consumer behaviour and the multiple regression to understand the contribution of post-purchase variables to green consumer behaviour.

Eco-conscious, risk and comfort in user behaviour, satisfaction and eco-appraisal in evaluation behaviour and eco-conscience, disposal challenges and eco-responsible in disposal behaviour are the vital factors. Eco-conscious and comfort in use, satisfaction in evaluation and eco-conscience, disposal challenges and eco-responsible behaviour in disposal are positively related to green consumer behaviour and risk in use and eco-appraisals in the evaluation are insignificant.

Considering the very limited studies on green post-purchase behaviour, this study provides insights into the pro-environmental post-purchase behaviour and its contribution to green consumer behaviour.

This paper aims to highlight a model of industry drivers (industries’ environmental reputation and competitive intensity) that affect the sustainability marketing strategy segmentation, targeting and positioning based on customers’ environmental concern and explore the circumstances under which such a strategy affects performance.

The authors examined 64 Iranian export companies, which adopted sustainability marketing strategies across seven different industries. Achieved data are analyzed using a structural equation model methodology.

The results indicate that industries’ environmental reputation is positively related to the sustainability marketing strategies based on customers’ environmental concern and leads to superior financial and market performance. They also posit that competitive intensity has no significant effect on sustainability marketing strategies.

This study specifically examines the impact of industry drivers on sustainability marketing strategy and performance. Logically, there might be other factors affecting the sustainability or other value dimensions that are not addressed in this study.

This paper provides some understanding of how organizations strength their sustainability marketing strategy, and they have to consider what factors to adopt such strategy. This paper also facilitates a better understanding of the customers’ needs and concern as a factor influencing sustainability marketing strategy adoption and implementation. Identifying the customer segmentation and market targeting based on the industry’s environmental can lead to the business will normally tailor the marketing mix (4Ps) with the needs and expectations of the target in mind.

This paper strengthens the effect of environmental concern of customer to understand what influences the success of the sustainability marketing adoption and implementation by investigating the most influential factors such as industries’ environmental reputation and competitive intensity.

Este artículo pretende poner de manifiesto un modelo de impulsores de la industria (reputación ambiental e intensidad competitiva de las industrias) que afecta a la segmentación, orientación y posicionamiento de la estrategia de marketing de sostenibilidad basada en la preocupación ambiental de los clientes y explora las circunstancias en las que dicha estrategia afecta al rendimiento.

Se han examinado 64 empresas exportadoras iraníes que adoptaron estrategias de marketing sostenible en siete industrias diferentes. Los datos obtenidos se analizan utilizando SEM.

Los resultados indican que la reputación ambiental de las industrias se relaciona positivamente con las estrategias de marketing sostenibles basadas en la preocupación ambiental de los clientes y conlleva un rendimiento financiero y de mercado superior. También se afirma que la intensidad competitiva no tiene un efecto significativo en las estrategias de marketing sostenible.

Este estudio examina específicamente el impacto de los impulsores de la industria en la estrategia y el rendimiento de marketing sostenible. Lógicamente, podría haber otros factores que afecten a la sostenibilidad u otras dimensiones de valor que no se abordan en este estudio.

Se analiza cómo las organizaciones fortalecen su estrategia de marketing sostenible y tienen que considerar qué factores adoptar en dicha estrategia. Este artículo facilita también una mejor comprensión de las necesidades y preocupaciones de los clientes como un factor que influye en la adopción e implementación de la estrategia de marketing sostenible. La identificación de la segmentación de clientes y el mercado basado en el entorno ambiental de la industria puede llevar a que el negocio adapte su marketing mix (4Ps) teniendo en cuenta las necesidades y expectativas del público objetivo.

Esta investigación refuerza el efecto de la preocupación ambiental del cliente para comprender qué influye en el éxito de la adopción e implementación del marketing sostenible al investigar los factores más influyentes, como la reputación ambiental y la intensidad competitiva de las industrias.

Sostenibilidad, Estrategia de marketing, Industria, Impacto medioambiental, Clientes, Preocupación ambiental, Intensidad de la competencia, Exportación, Rendimiento financiero, Rendimiento de mercado.

Estudio de caso

Creating employment for all seems to be impossible in emerging nations as the unemployment rate is rising faster than the number of job openings available. Studies on the other hand show that creating jobs is simple if the right resources and opportunities are made available. The present study aims to examine the effects of various demographic social and environmental factors on the entrepreneurial intention of engineering undergraduates in Chhattisgarh state.

Correlational research design was incorporated in the present study. The author applied stratified random sampling to collect samples of 1,000 engineering undergraduates enrolled in their third and fourth years in different technical colleges/universities in Chhattisgarh state. Structural equation modelling and confirmatory factor analysis were applied to analyse the data.

The results revealed that demographic, social and environmental factors greatly influenced engineering undergraduates’ entrepreneurial intention. However, age and occupation do not predict their self-employment intention.

The present research itself is a novel study, especially in Chhattisgarh state, where the area of examining the effects of demographic, social and environmental factors on entrepreneurial intention among technical undergraduates has been limitedly explored.

Environmental degradation resulting from human activities may adversely affect human health in multiple ways. Until now, policies aimed at mitigating environmental problems such as climate change, environmental pollution and damage to biodiversity have failed to clearly identify and drive the potential benefits of these policies on health. The conducted study assesses and demonstrates how specific environmental policies and instruments influence perceived human health in order to ensure input for a data-driven decision process.

The study was conducted for the 2004–2020 period in European Union (EU) countries with the use of dynamic panel data modeling. Verification of specific policies' impact on dependent variables allows to indicate this their effectiveness and importance. As a result of the computed dynamic panel data models, it has been confirmed that a number of significant and meaningful relationships between the self-perceived health index and environmental variables can be identified.

There is a strong positive impact of environmental taxation on the health index, and the strength of this relationship causes effects to be observed in the very short term, even the following year. In addition, the development of renewable energy sources (RES) and the elimination of fossil fuels from the energy mix exert positive, although milder, effects on health. The reduction of ammonia emissions from agriculture and reducing noise pollution are other health-supporting factors that have been shown to be statistically valid. Results allow to identify the most efficient policies in the analyzed area in order to introduce those with the best results or a mix of such measures.

The results of the authors' research clearly indicate the health benefits of measures primarily aimed at improving environmental factors, such as environmental taxes in general. The authors have also discovered an unexpected negative impact of an increase in the share of energy taxes in total taxes on the health index. The presented study opens several possibilities for further investigation, especially in the context of the rapidly changing geopolitical environment and global efforts to respond to environmental and health challenges. The authors believe that the outcome of the authors' study may provide new arguments to policymakers pursuing solutions that are not always easily acceptable by the public.

This paper aims to explore various factors associated with radio frequency identification (RFID) adoption with quantitative meta-analysis. More specifically, this paper attempts to measure key variables of RFID adoption derived from Rogers’ innovation theory and further examines how state intervention influences the process of RFID adoption. First, this paper compares, relying on a meta-analysis, various mean effect sizes among technological, organizational and environmental factors (i.e. government-driven policies) that Rogers suggested in his innovation model.

In mean effect size analysis, this paper finds that the technological factor is the most powerful factor that affects the RFID adoption. The technological factor is statistically significant across all regions, including North America, Europe and Asia. The organizational factor is significant only in developing countries like Southeast Asian countries and East Asian countries. Environmental factors like government intervention for facilitating RFID adoption are strong enough only in Southeast Asia and Europe.

This paper finds that government’s supportive policy is more effective in Europe but not in America, while external pressure is still more effective in Southeast Asia. These results implicate that developmentalism or government-driven policy can be effective not only in developing countries but also in the case of developed countries. In addition, this paper conducts a seemingly unrelated regression (SUR) analysis based on Fisher’s standardized score.

In SUR analysis, this paper finds that the correlations between RFID adoption intention and three innovation factors vary across industrial areas. More specifically, the manufacturing area shows negative moderating effect on all three equations where correlations between Rogers’ innovation factors and RFID adoption intention are meta-dependent variables. Also, RFID adoption is accelerated when the size of the firm is large or the location of the firm is in Southeast Asia. This result implicates that the aspect of technology adoption can be changed by region and type of industry.

Considering the relevance of understanding what influences environmentally sustainable consumer choices, the present study aims to examine and synthesize the key determinants factors from literature and outline a new conceptual framework for explaining green purchasing behaviors (GPBs).

A bibliometric analysis was conducted on 161 articles extracted from Web of Science and Scopus databases, which were systematically evaluated and reviewed, and represent the current GPB knowledge base. Content analysis, science mapping and bibliometric analysis techniques were applied to uncover the major theories and constructs from the state-of-the-art.

The evolving debate between altruistic and self-interest consumer motivations reveals challenges for rational-based theories, as most empirical applications are not focused on buying behaviors, but instead either on pro-environmental (non-buying) activities or on buying intentions. From the subset of leading contributions and emerging topics, nine thematic clusters are unveiled in this investigation, which were combined to create the new PSICHE framework with the purpose of predicting GPB: (P)roduct-related factors, (S)ocial influences, (I)ndividual factors, (C)oncerns about the environment, (H)abits and (E)motions.

By uncovering the multiple intervening factors in GPB decision processes, this study will assist practitioners and academics to move forward on how to foster more sustainable consumer behaviors.

The present study provides readers a summary of an unprecedentedly broad collection of papers, from which the key themes are categorized, the domain's intellectual structure is captured and an actionable framework for enhancing the understanding GPB is proposed. Four new thrust areas and a set of future research questions are included.

This paper aims to identify variables that determine the differing levels of environmental quality on Java and other islands in Indonesia.

Using a quantitative approach, secondary data were sourced from the Central Statistics Agency and the Ministry of Environment and Forestry. The data were obtained through the collection of documentation from 33 provinces in Indonesia. The analytical approach used was discriminant analysis. The research variables are Trade Openness, Foreign Direct Investment (FDI), industry, HDI and population growth.

The variables that distinguish between the levels of environmental quality in Indonesian provinces on the island of Java and on other islands are Industry, HDI, FDI and population growth. The openness variable is not a differentiating variable for environmental quality. The most powerful variable as a differentiator of environmental quality on Java Island and on other islands is the Industry variable.

This study has not classified the quality of the environment based on the Ministry of Environment and Forestry's categories, namely, the very good, good, quite good, poor, very poor and dangerous. For this reason, further research is needed using multiple discriminant analysis (MDA).

Industry is the variable that most strongly distinguishes between levels of environmental quality on Java and other island, while the industrial sector is the largest contributor to gross regional domestic product (GDRP). Government policy to develop green technology is mandatory so that there is no trade-off between industry and environmental quality.

This study is able to identify the differentiating variables of environmental quality in two different groups, on Java and on the other islands of the Indonesian archipelago.

The purpose of this paper is to investigate the effect of consumer sustainability attitudes and quick service restaurants (QSRs) practices along with the willingness of consumers to pay a premium for sustainability efforts.

A random sample of QSR customers in Germany resulted in 428 completed surveys. First, common factor analysis was conducted to assess the summated scales related to the sustainable behavior of customers, the importance attached by them to the different dimensions of sustainability and the extent to which customers perceive that QSR implement such practices. Second, the effect of these summated scales on the willingness to pay a premium (WTPP) for sustainability practices were assessed by means of a logistic regression.

The findings indicated that WTPP for sustainability efforts is primarily driven by internal beliefs and behaviors of consumers themselves rather than actions by QSR firms. Furthermore, when comparing five major QSRs, QSR brands did not appear to create a strong point of differentiation in their sustainability practices in the minds of frequent QSR consumers in the context of this study.

Implications of these results suggest that a growing number of consumers place high importance on sustainability and engage in personal sustainability practices that impact behaviors such as QSR selection and a WTPP for QSR brands and products that are perceived as implementing sustainable practices.

This paper addresses a gap by assessing drivers of willingness of QSR customers to pay a premium for sustainable practices and if QSR brands sustainability practices differ in the minds of consumers.

The purpose of this article is to develop a configurational approach based on the TOE framework (technology, organization and environment) to understand the degree of implementation of I4.0 technologies in manufacturing small- and medium-sized enterprises (SMEs). Specifically, the study considers technological infrastructure and competence, I4.0 integration capabilities, organizational agility and strategic flexibility, environmental dynamism and industry-specific forces as simultaneous pre-conditions for achieving an effective implementation of I4.0 technologies.

This study uses the fuzzy-set qualitative comparative analysis (fsQCA) methodology as it allows for asymmetric and configurational-focused testing of proposition and sound theoretical development. In total, 305 responses were collected through a survey administered to SME managers in Europe and the United Kingdom (UK).

The study examines the influence of technology, organizational and environmental aspects on I4.0 technologies implementation in SMEs. High I4.0 degree of implementation is structured around 5 configurations, while other 4 configurations are related to low levels of I4.0 implementation.

This study proposes a configurational approach for SMEs to become I4.0 ready and how they may successfully implement I4.0 technologies. Such findings represent an original and novel contribution to existing research, offering a broad view on the I4.0 implementation by manufacturing SMEs.