IT usage for enhancing trade show performance: evidence from the aviation services

Singh, Jaywant; Shukla, Paurav; Kalafatis, Stavros

doi:10.1108/jbim-11-2014-0245

Cited by 14 publications

(7 citation statements)

References 57 publications

(111 reference statements)

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“…Fourth, financial performance was measured on a 2 The data were assessed for early, vis-à-vis, late response bias by conducting t-tests for each construct, revealing non-significant significant differences (Armstrong and Overton, 1977). In addition, the final sample size (n = 101) was deemed to be satisfactory, considering the limited time and prior commitments of the respondents, as well as other sample sizes in the business-to-business marketing literature (e.g., Moorman, 1995;Westerlund and Rajala, 2010;Keinanen and Kuivalainen, 2015;Singh et al, 2017). seven-point Likert scale, with five items, ranging from: 1 = much worse than competitors to 7 = much better than competitors (adapted from Morgan et al, 2009).…”

Section: Operationalisations Of the Constructsmentioning

confidence: 99%

The dark side of coopetition: when collaborating with competitors is harmful for company performance

Crick

2019

JBIM

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Purpose Coopetition is the interplay between cooperation and competition, involving organisations sharing resources and capabilities with rival entities. Earlier work has suggested that coopetition has a linear (positive) relationship with company performance, with scarce considerations towards whether this link could have a diminishing-returns effect. Thus, this paper aims to examine the non-linear (quadratic) relationships between coopetition and three performance outcomes. Using resource-based theory and the relational view, this study is designed to evaluate the dark side of coopetition, in terms of identifying situations when such activities can be harmful for company performance. Design/methodology/approach Survey data were collected from a sample of 101 vineyards and wineries in New Zealand. After purifying the measures through a series of multivariate statistical techniques, the research hypotheses and control paths were tested through hierarchical regression. Furthermore, the statistical data passed all major assessments of reliability and validity (including common method variance). Findings Coopetition was found to have non-linear (quadratic) relationships with customer satisfaction performance, market performance, and financial performance. These results indicate that while coopetition provides organisations with new resources, capabilities and opportunities, there are some dark sides of coopetition activities. With “too little” coopetition, firms might struggle to survive within their markets, with an insufficient volume of resources and capabilities. With “too much” coopetition, companies could experience increased tensions, potentially lose intellectual property and dilute their competitive advantages. Such negative outcomes could harm their performance in several capacities. Practical implications Firms should appreciate that coopetition is a competitive strategy. In other words, regardless of how much collaboration occurs, coopetition partners are still competing entities. It is recommended that organisations should strive to engage in an “optimal-level” of coopetition, as “too little” or “too much” of such strategies can be harmful for various types of company performance. To mitigate some of the dark sides of coopetition, businesses should attempt to use all the benefits of collaborating with competitors (i.e. accessing new resources, capabilities and opportunities), but at the same time, not become dependent on rivals’ assets. Originality/value This paper develops and tests a framework examining the non-linear (quadratic) linkages between coopetition and multiple assessments of company performance. It highlights the benefits and drawbacks of businesses sharing resources and capabilities with their competitors. Contrary to prior studies in the business-to-business marketing literature, the results signify that firms need to engage in an “optimal-level” of coopetition to minimise certain dark sides, such as reduced company performance. After providing some practitioner implications, this paper ends with a series of limitations and avenues for future research.

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Section: Operationalisations Of the Constructsmentioning

confidence: 99%

The dark side of coopetition: when collaborating with competitors is harmful for company performance

Crick

2019

JBIM

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“…The findings highlighted that overall there was a low degree of satisfaction among the users with some exceptions; (3) usage toward users' performance by Upadhyay et al (2018), Norzaidi et al (2007), Harrati et al (2017) and Román and Rodríguez (2015). The results show that the relationship between usage and performance is not significant; (4) users' performance toward usage by Singh et al (2017). This research shows that users' performance has a significant impact on usage.…”

Section: Introductionmentioning

confidence: 66%

The technology tasks fit, its impact on the use of information system, performance and users’ satisfaction

Ratna

Utami

Astuti

et al. 2020

VJIKMS

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Purpose Find out how the employees’ performance on the implementation of the hotel reservation information system. Therefore, this paper aims to examine the effect of the task-technology fit (TTF) on the use of information systems, as well as its effect on user performance and satisfaction. Design/methodology/approach This research type is explanatory research. In explanatory research, the aim is to provide an explanation related to the causal relationship between variables and hypothesis testing. The unit of analysis adopted in this study is the individual of the front office employees who use the star hotel reservation information system in South Kalimantan Province (the population is 239, and the taken are 150 samples, based on the number of indicators multiplied 5). Findings The higher the TTF, the higher the level of using information systems. The higher the use level of information systems, the higher the information systems user performance and vice versa in which the higher the user’s performance, the more increase the use of information systems. On the other hand, this study found that the use of information systems and user performance has no significant effect on user satisfaction. Originality/value The novelty in this study is shown in the influence between performance variables on the usage and the usage variables on the users’ performance. This study examines the importance of reciprocal usage and user performance relationships based on previous research studies that examine the relationship and that information technology (IT) usage will affect user performance. In addition, the users’ performance will affect the users’ behavior in using IT.

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“…However, IT also offers opportunities for show organizers, exhibitors and visitors. [17] According to Layton [18], SCRUM is simple framework for clearly identifying roles and organizing More effective in prioritizing tasks, and more efficient in completing work set forth. SCRUM is an iterative, incremental approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Decision Support System Design for Wedding Organizer Tradeshow Selection using AHP and TOPSIS

Soesanto¹,

Rizana

2021

IJIES

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Wedding organizers, as one of the creative industries, often participate in a trade show as one of the marketing mediums. Many wedding-related trades show events are held every year. But the cost to participate in one trade show event is quite expensive and increases from time to time. Thus, before deciding to participate in a trade show, it is important to evaluate whether the trade show events are recommended to join or not. The purpose of this study is to design a decision support system that will help the wedding organizer to decide their participation in a trade show. The decision model was constructed using AHP and TOPSIS methods. There are seven factors considered in the model, i.e., tradeshow location, reputation and professionalism of the organizer, cost estimation, trade show prestige, tenant reputation, time of the event, the attractiveness of the event. By using the AHP method, the priority weight of each factor was calculated. Moreover, the weight obtained will be used in developing a decision model combined with the TOPSIS method. The decision support system was developed afterward by using the SCRUM method. The feature of the system is discussed in the paper.

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IT usage for enhancing trade show performance: evidence from the aviation services

Cited by 14 publications

References 57 publications

The dark side of coopetition: when collaborating with competitors is harmful for company performance

The dark side of coopetition: when collaborating with competitors is harmful for company performance

The technology tasks fit, its impact on the use of information system, performance and users’ satisfaction

Decision Support System Design for Wedding Organizer Tradeshow Selection using AHP and TOPSIS

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