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1 – 3 of 3Sahar Amirkhani, Neda Torabi Farsani and Homa Moazzen Jamshidi
Industrial tourism not only strives to preserve industrial heritage, but can also be a strategy for being familiar with the history of industry and attracting tourists to new…
Abstract
Purpose
Industrial tourism not only strives to preserve industrial heritage, but can also be a strategy for being familiar with the history of industry and attracting tourists to new destinations. This paper examines the issue of promoting petroleum industrial tourism in the case of Khuzestan, Iran. The research aims at determining appropriate strategies for promoting petroleum industrial tourism.
Design/methodology/approach
The data were analysed through a strengths, weaknesses, opportunities, and threats (SWOT) model.
Findings
The results revealed the competitive strategy as the best. Lastly, strategies such as: concentric diversification, joint venture strategy, conglomerate diversification and horizontal diversification were proposed as key solutions. The results support the view that establishing an exploratory ecomuseum in the territory of Khuzestan Province can be a suitable concentric diversification strategy towards petroleum industrial sustainable tourism in the future.
Originality/value
The main originality of this paper includes linking tourism with the petroleum (oil and natural gas) industry and its natural landscapes for the first time in a case study. Therefore, the results of this research can extend the literature in this regards. Moreover, this paper attracts tourists to visit natural landscapes of petroleum heritage.
Details
Keywords
The purpose of this study is to present and explain a new customer segmentation approach inspired by failure mode and effect analysis (FMEA) which can help classify customers into…
Abstract
Purpose
The purpose of this study is to present and explain a new customer segmentation approach inspired by failure mode and effect analysis (FMEA) which can help classify customers into more accurate segments.
Design/methodology/approach
The present study offers a look at the three most commonly used approaches to assessing customer loyalty:net promoter score, loyalty ladder and loyalty matrix. A survey on the quality of restaurant services compares the results of categorizing customers according to these three most frequently used approaches.
Findings
A new way of categorizing customers through loyalty priority number (LPN) is proposed. LPN was designed as a major segmentation criterion consisting of customer loyalty rate, frequency of purchase of products or services and value of purchases. Using the proposed approach allows to categorize customers into four more comprehensive groups: random, bronze, silver and gold – according to their loyalty and value to the organization.
Practical implications
Survey will bring a more accurate way of categorizing customers even in those sectors where transaction data are not available. More accurate customer categorization will enable organizations to use targeting tools more effectively and improve product positioning.
Originality/value
The most commonly used categorization approaches such as net promoter score, loyalty ladder or loyalty matrix offer relatively general information about customer groups. The present study combines the benefits of these approaches with the principles of FMEA. The case study not only made it possible to offer a view of the real application of the proposed approach but also made it possible to make a uniform comparison of the accuracy of customer categorization.
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Keywords
Smita Gupta and Kanika T. Bhal
In the scope of the immense growth of corporate frauds and scandals, reporting unethical practices could be considered as an important mechanism to control them and ultimately…
Abstract
Purpose
In the scope of the immense growth of corporate frauds and scandals, reporting unethical practices could be considered as an important mechanism to control them and ultimately improve organizational quality. To this end, this study proposes the conceptual framework comprising the enablers impacting employees' tendencies and behaviors to reporting misdemeanor in the workplace.
Design/methodology/approach
Systematic review of literature has been carried out. To understand the complexities among various enablers and to analyze their driving power and contingencies, a modified total interpretive structural modeling (TISM) approach has been adopted.
Findings
The findings indicate that enablers such as moral identity (MI) and job satisfaction (JS) having higher driving power (come at the bottom of the hierarchy) are relatively more important. Furthermore, perceived personal cost (PC), moral courage (MC), self-efficacy (SE) and anger have high dependent power of factors. Finally, the paper provides two paths that can lead to whistleblower's ethical decision.
Research limitations/implications
A conceptual framework delivered in this paper requires to test against the field data. However, the conceptual understanding of driving enablers paves the way to top management in recruiting and hiring people in the workplace.
Originality/value
This study represents the first attempt to apply TISM for whistleblowing phenomenon. It provides a comprehensive conceptual framework in order to address the relative importance of various individual enablers in developing reporting tendencies against misdemeanors.
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