Search results
1 – 4 of 4Azza Temessek Behi, Norchene Ben Dahmane Mouelhi and Walid Chaouali
This study aims to explain customer reactions to a double deviation by examining the moderating role of prior trust in peer-to-peer (P2P) accommodation platforms on the…
Abstract
Purpose
This study aims to explain customer reactions to a double deviation by examining the moderating role of prior trust in peer-to-peer (P2P) accommodation platforms on the relationship between perceived betrayal and negative outcomes such as negative word-of-mouth (NWOM), vindictive complaining and patronage reduction.
Design/methodology/approach
An online survey was used to obtain a sample of 246 respondents familiar with P2P accommodation platforms. The model was tested using SmartPLS.
Findings
The results showed a positive correlation between perceived betrayal and NWOM, vindictive complaining and patronage reduction. Unexpectedly, prior trust had positive moderating effects. High levels of prior trust caused more negative customer reactions than low levels of prior trust.
Practical implications
The findings of this study caution firms about the potential risks to rely on the forgiveness and tolerance of highly trusted customers who may retaliate fiercely to double deviations.
Originality/value
This research unveils the prior trust paradox. Customers' prior trust magnified the negative impact of double-deviation experiences. This study contributes to the service-recovery literature by questioning the buffer effect of prior trust in the context of a double deviation.
Details
Keywords
Walid Chaouali, Nizar Souiden, Narjess Aloui, Norchène Ben Dahmane Mouelhi, Arch George Woodside and Fouad Ben Abdelaziz
This study strives to better understand resistance to chatbots in the banking sector. To achieve this, it proposes a model based on the paradigm of resistance to innovation and…
Abstract
Purpose
This study strives to better understand resistance to chatbots in the banking sector. To achieve this, it proposes a model based on the paradigm of resistance to innovation and the complexity theory. In addition, it explores the role of gender in relation to chatbot resistance.
Design/methodology/approach
Data are collected in France using a snowball sampling technique. The sample is composed of 385 participants. FsQCA is used to identify all possible combinations of usage, value, risk, tradition and image barriers, as well as two gender conditions that predict resistance to chatbots.
Findings
The results reveal that the sample provides four possible solutions/combinations that may explain resistance to chatbots. These are: (i) a combination of usage, value, risk and tradition barriers, (ii) a combination of value, risk, tradition and image barriers, (iii) a combination of usage, value, risk and image barriers, along with the male gender and (iv) a combination of usage, value, tradition and image barriers, along with the female gender.
Research limitations/implications
This study provides valuable and straightforward theoretical and managerial implications. The proposed solutions suggest a deep understanding of chatbot resistance. Chatbot developers and marketers can highly benefit from these findings to enhance user acceptance.
Originality/value
In this study, barriers are envisioned within the larger context of innovation resistance. The interactions among barriers causing resistance to chatbots are examined through the lens of the complexity theory, while the data analysis employs the fsQCA approach. Furthermore, this study sheds light on the role of gender in explaining chatbot resistance in the banking sector.
Details
Keywords
Hamida Skandrani, Norchène Ben Dahmane Mouelhi and Faten Malek
This paper aims to better understand the effect of store atmospherics on the employees' cognitive, affective and physiological responses. It tries to build on store atmospherics…
Abstract
Purpose
This paper aims to better understand the effect of store atmospherics on the employees' cognitive, affective and physiological responses. It tries to build on store atmospherics literature to gain more insights on how these store atmospherics – often handled to produce positive outcomes among consumers – affect employees' attitudinal and behavioural reactions.
Design/methodology/approach
This study adopted an explanatory approach. In‐depth interviews were conducted with 13 employees working in internationally reputed clothing stores. A content analysis was carried out.
Findings
The study reveals that employees could adopt avoidance behaviours because of the environmental factors. Specifically, it suggests that the lack of variation in the musical program, incongruence of music genre – salespersons musical preferences, long exposure to the same rhythms, task complexity, crowding, might affect the employees' attitudinal and behavioural responses. In addition, the relationships between the sales force team are found to influence employees' reactions.
Research limitations/implications
Because of the complexity of the subject matter and the research approach adopted, the study findings may lack generalisability. Further studies are required to test the suggested framework in different service settings.
Practical implications
The study finding stresses the need that in an attempt to produce positive reactions from consumer, clothing stores managers should also devote attention to employees' responses to store atmospherics as they might inhibit the quality of the service delivery process.
Originality/value
This paper fulfils a recognized call to thoroughly understand the impact of store atmospherics on employees' reactions in services marketing. The study enlarges the scope of store atmospherics research in marketing to encompass not only the consumer's reactions but also the employee's ones.
Details