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1 – 3 of 3Mohammad Reza Kousheshi, Samad Aali, Ali Reza Bafandeh Zendeh and Soleyman Iranzadeh
The purpose of this paper is to suggest a model for predicting antecedents and consequences of relationship quality in online purchase of physical goods.
Abstract
Purpose
The purpose of this paper is to suggest a model for predicting antecedents and consequences of relationship quality in online purchase of physical goods.
Design/methodology/approach
A total of 462 online buyers in Iran participated in the research by completing questionnaires. The research hypotheses were tested using structural modeling technique.
Findings
The results showed that website quality, online relationship bonds and reputation of seller have positive effect on online relationship quality. The results also showed that online relationship quality has positive effect on electronic word of mouth, online customer share, online customer loyalty and online customer reviews.
Research limitations/implications
In this research, online relationship quality was considered as a higher-order construct including trust, commitment and satisfaction with the relationship. However, to achieve more accurate results, future researchers can investigate the separate impact of each of the relationship quality dimensions (commitment, trust and satisfaction) on the consequences of online relationship quality.
Practical implications
This research provides a wide series of antecedents and consequences of online relationship quality for online stores community so that, through being aware of them, internet stores could choose a suitable guideline to sustain their relationship with online customers and, ultimately, obtain customers’ participation in creating value and strengthening their competitive status.
Originality/value
This paper proposes a more comprehensive model of the antecedents and consequences of relationship quality in online purchases for the first time, and it demonstrates which factors strengthen online relationship quality as well as indicates which customer reactions online relationship quality can reinforce and which consequences it can provide for internet shops.
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Akram Garepasha, Samad Aali, Ali Reza Bafandeh Zendeh and Soleyman Iranzadeh
The purpose of this paper is to investigate the effect of service quality and relationship quality on customer loyalty in different stages of the relationship life cycle in online…
Abstract
Purpose
The purpose of this paper is to investigate the effect of service quality and relationship quality on customer loyalty in different stages of the relationship life cycle in online banking services.
Design/methodology/approach
A total of 651 Iranian online banking customers participated in the research by completing questionnaires. The research hypotheses were tested using structural modeling technique.
Findings
The results showed that the relationship quality on customer loyalty in online banking services is affected by the relationship life cycle. The results also showed that online service quality, in the form of Utilitarian quality and Hedonic quality, has a positive effect both directly and indirectly on customer loyalty through online relationship quality.
Research limitations/implications
In this paper, the relationship dynamics was achieved through adding the relationship life cycle variable to the model. However, the study was a cross-sectional research and different results might be obtained if data was collected longitudinally.
Practical implications
In an online banking service, the role of relationship quality in the prediction of customer loyalty is reduced as the relationship ages. Therefore, marketers need to consider other marketing actions to continue their relationship with the customer in the long run.
Originality/value
This paper examines customer loyalty to online banking services from dynamic perspective by introducing relationship life cycle as a moderating variable for the first time. Therefore, the main contribution of this paper is to develop the relationship marketing literature in the field of relationship dynamics and to challenge the effectiveness of relationship marketing in the long run.
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Naghmeh Khabazi Kenari, Naser Feghhi Farahmand and Soleyman Iranzadeh
Iran is currently among the countries with high energy consumption levels. Based on the statistics published on the country's hydrocarbon balance sheet, the industrial sector was…
Abstract
Purpose
Iran is currently among the countries with high energy consumption levels. Based on the statistics published on the country's hydrocarbon balance sheet, the industrial sector was the largest energy user of all the sectors, followed by the household and transportation sectors. Besides, production lines account for the highest percentage of the industrial sector energy consumption. Accordingly, this paper aims to investigate the effects of coordinated energy management and manufacturing strategies to increase energy management performance.
Design/methodology/approach
This paper collected the required information on energy management and manufacturing from the experts of petrochemical companies; and oil and gas refineries and then examined their relationship. Moreover, the questionnaire tool was used to measure the independent variable.
Findings
The evaluations showed that organizations with coordinated and uncoordinated strategies do not exhibit equal energy management performance. Organizations with a coordinated combination of strategies have higher energy management performance than those with an uncoordinated combination of strategies. Combinations such as 11, 22, 33 and 44 are among the more coordinated combinations, which lead to higher performance.
Originality/value
Reviewing the studies in this regard revealed that limited and a handful of research papers were carried out on organizations' energy management strategies. None of the existing research has considered energy management strategies as a subsystem of an organization or specified its coordination with manufacturing strategies. However, this research has delved into this issue and our findings confirm certain assumptions of past studies and contribute to evaluating its effects on energy management performance.
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