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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

The purpose of this paper is to present the factors affecting purchase intention of foreign food products in the Iranian context.

The present study is a survey research and has a quantitative approach. According to Morgan’s table, 384 people were selected as sample size. Based on an in-depth review of previous literature, a comprehensive set of sub-factors related to customer’s purchase intention was extracted to design questionnaire. Then, exploratory factor analysis and confirmatory factor analysis were applied to identify and confirm the factors affecting purchase intention of foreign food products in Iran.

The obtained results illustrate 13 factors as follows: “corporate social responsibility,” “customer knowledge and awareness,” “perceived risk,” “retailer’s commercial image,” “customer’s personality characteristics,” “social identity,” “product features,” “attitude,” “country-of-origin,” “perceived value,” “subjective norm,” “loyalty” and “perceived behavioral control.”

As the present research was carried out in the Iranian context, the generalization of the findings is limited and caution should be taken in this regard.

The identified factors could contribute to international food companies and retailers to understand customers’ expectations and to gain more market share in Iran.

The originality of this paper lies in identifying a comprehensive set of the factors affecting purchase intention of foreign food products and developing the theoretical literature in the field of the present research.

The main objective of this study is to present a conceptual model of sustainable product service supply chain (SPSSC) performance assessment in the oil and gas industry.

Based on an in-depth study of the previous literature, the indicators related to PSSC performance assessment were determined. Then, exploratory factor analysis and confirmatory factor analysis were applied to identify and confirm the sub-criteria and criteria pertaining to the proposed model.

The obtained results identify ten criteria related to the proposed model as follows: “Environmental performance”, “Customer performance”, “financial performance”, “Information technology Performance”, “Social Performance”, “Risk performance”, “Logistics performance”, “Operational performance”, “Organizational performance” and “performance of innovation and growth”.

As the present research was conducted in the Iranian context, caution should be taken regarding the generalizability of the obtained results.

Based on a set of the identified criteria, this study proposes a conceptual model of the PSSC performance assessment in the oil and gas industry which hopefully could be useful for other organizations in this industry and other organizations in other parts of the world.

This paper aims to examine the relationship between board structure and risk-taking, exploring how this association is influenced by advanced technologies in the banking sector.

This study uses a panel sample of 22 Pakistani banks from 2011 to 2018. To test the authors’ hypothesis, the authors use regression analysis with two-way cluster robust standard errors. Further, the authors also check the robustness of the authors’ findings using alternate proxies of board structure and bank risk-taking behavior. To address endogeneity concerns, the authors use the two-stage least square technique.

In the era of the Fourth Industrial Revolution, Pakistani banks’ digitalization is modeled by the presence of Temenos-T24/Oracle as their core banking system (software providing end-to-end operational integration). Its interactional effect with corporate governance is evaluated to implicate informed risk-taking by the board as a result of improved information access and analysis. The authors find that board size has a positive association with risk-taking, and the use of modern technology reshapes this association in the banking sector.

The contribution of this paper is twofold. First, the impact of board structure on bank risk-taking has not been extensively researched in Pakistan – a highly volatile and unpredictable economy. Second, the evaluation of the role of technology on bank risk is being researched for the very first time – a uniqueness of this paper.

The food industry is directly related to the health of humans and society and also that little attention has been paid to the assessment of sustainable supply chain risk management in this area, this will be qualified as an important research area. This study aims to develop a framework for assessing the sustainable supply chain risk management in the realm of the food industry (confectionery and chocolate) with a case study of three generic companies denotes as A1–A3. The proposed risk management was evaluated in three aforementioned manufacturing companies, and these three companies were ranked by the Fuzzy-Weighted Aggregated Sum Product Assessment (F-WASPAS) method in EXCEL.

The evaluation was carried out using integrated multi-criteria decision-making methods Best-Worst method (BWM)-WASPAS. Via an extensive literature review in the area of sustainable supply chain, sustainable food supply chain and risks in this, 9 risk criteria and 59 sub-criteria of risk were identified. Using expert opinion in the food industry, 8 risk criteria and 39 risk sub-criteria were identified for final evaluation. The final weight of the main and sub-criteria was obtained using the F-BWM method via LINGO software. Risk management in the sustainable supply chain has the role of identifying, analyzing and providing solutions to control risks.

The following criteria in each group gained more weight: loss of credibility and brand, dangerous and unhealthy working environment, unproductive use of energy, human error, supplier quality, quality risk, product perishability and security. Among the criteria, the economic risks have the highest weight and among the alternatives, A3 has obtained first ranking.

Modeling of risk for the food supply chain is the unique contribution of this work.

Supply chain finance is an emergent research area dealing with the financial performance of a firm throughout its supply chain. It has been drawing significant attention among industrial practitioners and researchers. However, there is need to identify improvements in supply chain finance (SCF) practices to ensure sustainable growth. In recent years, circular economy practices are being adopted worldwide with a motivation to achieve the 17 Sustainable Development Goals (SDGs). Moreover, integration of circular economy practices in the financial aspects of supply chain is still in infant age.

Adoption of circular SCF in firms enhances both restorative and regenerative capacities of the firm. In this regard, this study aims to review articles on circular practices in SCF. The study identified 329 articles related to circular practices and sustainable practices in SCF from the Scopus database. The shortlisted articles were reviewed and discussed.

The findings of the study help to recognize the most influential and productive research in circular SCF in terms of journals and trends. Further research is recommended to explore this area in depth to recognize potential integrating factors that help in smooth acceptance of circular finance in supply chains.

Bibliometric and network analyses were performed to identify research trends and networks in the field of circular SCF. In addition, emerging research themes in the field of circular SCF were identified and discussed, and research propositions are proposed to delineate future research directions.

This paper aims to examine the dynamism of causal relationships among cloud computing (CC) adoption factors in the Indian context, considering the perspectives of both the cloud adopter and cloud provider.

The case-study method has been used to understand the dynamics among the factors. Using data from specific cases in India, causal loop diagrams (CLDs) have been developed. System dynamic modeling (SDM) and simulation are used to study the relationships and their effect on the adoption rate.

The results revealed that adoption of CC depends on various factors such as persuasion (time-saving, cost-saving and word of mouth) and constraint factors (security and financial loss). However, it is seen that the adoption rate is very sensitive to changes in adoption per contact and word of mouth. Further, the adopter firm has a quicker time to market, which gives an added advantage to the firm. Also, with CC services, a firm can fulfill its projects or clients' requirements with little to no upfront investment in information technology (IT) services.

Lack of security, standardization and undefined service-level agreements are a few pressing issues that make it difficult for firms to evaluate the performance and reliability of services. Hence, immediate attention is needed to make transparent policies on CC and its services, thereby building trust.

This is the first and only work that has tried to explore and empirically test the dynamics of critical factors while making an adoption decision, considering both the adopter and provider perspectives. This study shows the journey of a firm, starting from being a prospective adopter to an adopter and continuous user. The work also empirically tested how adopters of technology benefit from the technology.

The objective of this study was to assess the incorporation of polyunsaturated omega 3 and omega 6 fatty acids in the eggs of Japanese quails (Coturnix coturnix japonica) fed with soybean, flaxseed and shark liver oils, as well as to assess their effects on the chemical composition and lipid quality of the yolks.

The total of 252 units of quails were distributed in a completely randomized design with seven treatments and six replications, totaling 42 experimental design units. The sources of oils and their inclusions in the experimental diet were 2% of soybean oil (S), 2% of flaxseed oil (L) and 2% shark liver oil (T), obtained from the species Carcharhinus acronotus, and the mixtures of 1% S + 1% L (SL); 1% S + 1% T (ST); 1% L + 1% T (LT) and 0.67% S + 0.67% L + 0.67% T (SLT).

The proximate composition of the egg yolk was not changed to the supplementation of lipid sources added in quail diet. The total replacement of soybean oil by shark liver oil reduced the cholesterol content in the yolk by 19% (T = 282.97 mg cholesterol/100 g egg) and the addition of flaxseed oil produced eggs with greater amount of polyunsaturated fatty acids (PUFAs) (LS = 18.32%). The treatments with flaxseed oil and its mixtures (soybean oil + flaxseed oil and flaxseed oil + shark liver oil) effectively contributed to reducing the ω-6:ω-3 ratio and enriching the quail eggs with PUFAs, especially linolenic acid (18: 3n3c) and EPA (20: 5n3c).

Thus, manipulation in the diet of quails enriched the content of essential PUFAs and reduced the cholesterol content in the yolk. The flaxseed oil was the lipid source that influenced to improve the quality of the egg yolk. These results have practical applicability for the quail egg industry.

As a human right, people need to arrive early at the hospitals when they are injured in traffic accidents. Both the mean and equality of the time of arriving at the hospital are important. This study aimed to investigate inequality in arrival time of emergent traffic accident patients to the hospital in 2018–2019 in a city in the North of Iran.

The authors extracted the data from the Guilan province trauma system databank in Poursina Hospital in Rasht in 2018 and 2019. The Gini coefficient was used to calculate inequality, and a regression model was estimated for determining the reason for inequality in time to receive hospital services.

The study showed that patients’ arrival time from the time of the accident to the time of arrival to the hospital was 64.48 ± 47.63 min (minimum of 9 min and maximum 462 min). Gini coefficient was 0.31 (p <0.001), which does not show high inequality. Regression results showed that the transfer time of patients by car was 40 min longer (p-value <0.001) than ambulances (p = 0.036). In children, the transfer time was 42 min less (p = 0.003). Other variables did not explain the inequality (p > 0.05).

According to the time of arrival of patients and Gini index, in Rasht, inequality in providing services is not in a bad condition. This indicates that the emergency department does not systematically transport people to the hospital late.

The recent pandemic caused by coronavirus disease 2019 (COVID-19) has significantly impacted the operational performances of pharmaceutical supply chains (SCs), especially in emerging economies that are critically vulnerable due to their inadequate resources. Finding the possible barriers that continue to impede the sustainable performance of SCs in the post-COVID-19 era has become essential. This study aims to investigate and analyze the barriers to achieving sustainability in the pharmaceutical SC of an emerging economy in a bid to help decision-makers recognize the most influential barriers.

To achieve the goals, two decision-making tools are integrated to analyze the most critical barriers: interpretive structural modeling (ISM) and the matrix of cross-impact multiplications applied to classification (MICMAC). In contrast to other multi-criteria decision-making (MCDM) approaches, ISM develops a hierarchical decision tool for decision-makers and cluster analysis of the barriers using the MICMAC method based on their driving and dependency powers.

The findings reveal that the major barriers are in a four-level hierarchical relationship where “Insufficient SC strategic plans to ensure agility during crisis” acts as the most critical barrier, followed by “Poor information structure among SC contributors,” and “Inadequate risk management policy under pandemic.” Finally, the MICMAC analysis validates the findings from the ISM approach.

This study provides meaningful insights into barriers to achieving sustainability in pharmaceutical SCs in the post-COVID-19 era. The study can help pharmaceutical SC practitioners to better understand what can go wrong in post-COVID-19, and develop actionable strategies to ensure sustainability and resilience in practitioners' SCs.