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Based on equity theory, this paper investigates if guests write on different review websites because of different internal motivations. Furthermore, it examines the moderating effect of service’ exceeds, neutral, negative, and service recovery–on the relationship between motivations and type of website to write reviews.

To exam if the star ratings of the same hotels were significantly different across hotel, online travel agency, and third-party review websites, this study collected 12,000 star ratings from 40 hotels across the US and conducted t-tests. A survey of 1,600 US travelers was administered to uncover the motivations for writing on different websites/website combinations. Four different scenarios were used to test the moderating effect of service: exceeds, neutral, negative, and service-recovery. These responses were analyzed using backwards stepwise regression.

Star ratings for the same hotel do differ among the three websites; hotel is the highest and third-party is the lowest. There are seven distinct groups of guests. Guests are motivated to write reviews to balance inequitable relationships. They decide which website/website combination best improves the equity relationship. This research indicates that guests’ choice of website is based on different internal motivations. The moderating effect of the service experience was significant.

This paper contributes to the literature by examining different motivations to write online reviews by website. Prior research typically examined one website or aggregated results from multiple websites, ignoring website specific differences. This can help hoteliers to understand why initiatives to promote reviews on certain websites may be unsuccessful.

The purpose of this study is to explore the effects of priming on consumer emotions and willingness to pay as consumers experience two services with two opposite valences.

A 2 (service experience sequence: failure–success, success–failure) × 3(priming: positive, negative, no priming) between-subject experiment was conducted with 230 college students in China.

Results indicate that when priming information is included, people give greater decision weight to the second service. Specifically, in the failure–success scenario, priming information between two services increases positive emotions and decreases negative emotions, raising willingness to pay. In the success–failure scenario, priming information decreases positive emotions and increases negative emotions, thus lowering willingness to pay.

First, if businesses discover the possibility of a service failure, then disclosing negative information is better than whitewashing the truth. Second, services following a campaign of positively framed messages should be carefully rendered. The damage of pre-failure positive priming is most certainly irreparable. Finally, in terms of communication, businesses and service providers should cater to consumers exposed to different levels of information accordingly.

Previous investigations focusing on a single purchase have argued that priming effects should cause consumers of varying tastes to react in a more unified manner to a service. This study extends the research scope to more realistic situations ”sequential service experiences with opposite valences” and asserts that differences in service experiences alter the influence of priming information.

This paper investigates how the channel leadership strategies develop a post-coronavirus disease (COVID-19) resilient agri-supply chain, which reduces supplier and retailer's price loss and enhances the logistics service quality level considering logistics outsourcing of agri-product especially for the rapidly changing market condition.

Based on the classical leadership theory, two channel leadership strategies, i.e. LPL and SL, are considered. The proposed framework first derives the equilibrium price and service quality level decision among the supplier, the logistics provider and the retailer. Then it compares both leadership strategies in terms of the equilibrium prices and service quality theoretically. This article also presents a case study of Arabian dates pricing and supply chain to test the theoretically derived propositions.

Selection of suitable leadership strategy is a critical factor for profit maximization of the supply chain drivers and proper optimization of equilibrium price and service quality. Here, the product's quality and the market's socio-economic condition play an important role in selecting a suitable leadership strategy. A random transformation of the physical market to an e-commerce portal creates a wide variation of the market's socio-economic parameters, affecting the equilibrium pricing and the logistics provider's service quality.

This study proposes a post-COVID-19 resilient agri-supply chain framework considering price and quality-dependent stochastic market demand, incorporating a wide range of socio-economic factors in the model to counteract the effect of rapid behavior change of agri-market due to COVID-19 norms. This research examines the effect of different channel leadership strategies to facilitate suitable decisions on prices and service quality and retrieve the profit of the supplier, retailer and logistics provider. The future models can incorporate competitiveness in logistics outsourcing, fourth-party logistics (4PL) and contract farming in the agri-supply chain. Each of the extensions can open avenues in different directions.

As the post-COVID-19 market and the customer behavior is randomly changing, and the traditional market is rapidly converting into supermarkets and e-commerce portals, this paper examines the model with a wide variety of e-commerce portals with multi-variation of product. It is conclusive that the product's quality and the market's socio-economic behavior significantly impact the equilibrium decision. The drivers of the supply chain must take them into account before choosing a particular channel leadership strategy.

This study considers a multi-product and multi-market (e-commerce) model by integrating a wide variety of products and the market's socio-economic parameters. The model is tested in a price and quality-dependent stochastic market condition, contributing to the literature by reconciling two different channel leadership strategies into the global logistics of fresh agri-product.

While within-firm service failure and recovery have been studied extensively, the context in which a service failure at one firm “spills over” and provides an opportunity for an external firm (a subsequent service provider) to recover (compensate) a customer has received limited attention. This study aims to examine how the extent of a service failure plays a role in how external firms should shape their recovery efforts, and how customers’ evaluations of the recovering firm and their feelings of unhappiness are affected.

A pretest conducted on MTurk gauged participants’ perceptions of equitability of the external firm’s recovery effort. In the main study, a 3 × 3 between-subjects experiment examined the effects of failure extent and external recovery type on evaluations of the recovering firm and reduced feelings of unhappiness.

It is found that equity judgments remain consistent in the external recovery context; transferred negative affect is able to be mitigate only in low-failure scenarios, and customers’ evaluations of the external firm increase only in high-failure scenarios.

The use of hypothetical scenarios, as opposed to the employment of a field study, is the primary limitation of the study.

This research finds that external firms can reap the benefits of another firm’s service failure by offering no-cost recoveries, rather than ones that carry some form of cost.

Prepaid mobile Internet is one of the most profitable services that are composed of multiple attributes. The overall utility of Internet service can be broken down into the sum of the utility of individual attribute levels. Based on the multi-attribute theory, rational consumers choose the service that yields the highest utility from a number of possible alternatives. Determining the optimal attribute levels that satisfy consumers' preferences and maximize the total revenue of the firm is a challenging multi-attribute decision problem for any mobile operator. When designing mobile Internet services, adopting a robust composition of services against different realizations of competitors' strategies can bring advantages for network operators. The purpose of this study is to determine the optimal attribute levels of prepaid mobile Internet packages with the aim of maximizing the total revenue of the firm by considering the paradigms of multi-attribute utility theory about consumer choices and the issue of uncertainty in counterpart services offered by the competitors.

This paper formulates the problem of multi-attribute pricing and design of mobile Internet plans in a competitive environment by developing deterministic and robust scenario-based mathematical models and considering the paradigms of multi-attribute utility theory about consumer choices. The proposed robust scenario-based models are based on three different paradigms, including maximizing expected revenue, minimizing the negative deviation from expected revenue and minimizing the maximum regret. A comprehensive numerical analysis is conducted to evaluate and compare the efficiency of the proposed models.

The evaluations reveal that deploying recourse policy can result in higher revenue for the firm when facing uncertainty. By doing sensitivity analysis, this paper shows that consumer preferences for brand attribute and consumers' purchase frequency can influence the revenue of network operators.

This paper develops a novel deterministic multi-attribute product line design (PLD) model to address the problem of determining the price and composition of prepaid mobile Internet plans. Furthermore, the issue of uncertainty in counterpart services offered by the competitors is studied for the first time in the PLD literature.

Mobile technologies are increasingly used as a data source to enable big data analytics that enable inventory control and logistics planning for omnichannel businesses. The purpose of this paper is to focus on the use of mobile technologies to facilitate customers’ shopping in physical retail stores and associated implementation challenges.

First, the authors introduce three emerging mobile shopping checkout processes in the retail store. Second, the authors suggest that new validation procedures (i.e. exit inspections) necessary for implementation of mobile-technology-enabled checkout processes may disrupt traditional retail service processes. The authors propose a construct labeled “tolerance for validation” defined as customer reactions to checkout procedures. The authors define and discuss five dimensions – tolerance for: unfair process; changes in validation process; inconvenience; mistrust; and privacy intrusion. The authors develop a measurement scale for the proposed construct and conduct a study among 239 customers.

The results show that customers have higher tolerance for validation under scenarios in which mobile technologies are used in the checkout processes, as compared to the traditional self-service scenario in which no mobile technology is used. In particular, the customers do not show a clear preference for specific mobile shopping scenarios.

These findings contribute to our understanding of a challenge that omnichannel businesses may face as they leverage data from digital technologies to enhance collaborative planning, forecasting, and replenishment processes. The proposed construct and measurement scales can be used in future work on omnichannel retailing.

The future development of the internet is not only heavily dependent on its technological evolution, but also on business sustainability for the interconnection ecosystem the web relies on, where various players characterized by fairly different economic structures and interests are coexisting. Therefore, in this paper the authors aim to propose a methodological framework for developing innovative interconnection business models.

Starting from a comprehensive as‐is analysis including the selection of appropriate service scenarios, market activities are abstracted through an archetypization process. Based on that, a value network for the future marketplace is proposed and makes it possible to design a business model for carriers, before, as last step, both the value network configurations and the to‐be business model are evaluated.

The framework to assess the future internet ecosystem depicts the interconnections value network, shedding light on its key activities; it proposes the establishment of a new dynamic interconnection marketplace based on an emerging interconnection value network where traditional and original roles coexist; and it evaluates the introduction of sending party pays and bid‐and‐ask solutions for governing the marketplace and its business models.

The authors' approach addresses carriers, over‐the‐top providers and technology providers as well as end user groups, specifically aiming at fostering the evolution of the future internet by means of developing innovative value configurations and business model options with a substantial impact for a broad set of stakeholders on a global scale. Thus, the canvas of guidelines presented and discussed in this paper covers all stakeholders in the interconnection ecosystem and provides a solid starting point for upcoming implementations.

The paper aims to investigate the optimal service quality and pricing for a mobile application (App) service supply chain (SSC) and analyze the impact of network externality on App SSC members' utilities. After that, the corresponding management inspirations and suggestions are put forward.

The paper developed a SSC consisted of an App service supplier and an App service operator. Our models aim to maximize the SSC members' utilities. By utilizing the game theory, equilibrium solutions are obtained. Numerical examples are used to manifest the impact of parameters on decisions by Matlab. Some management enlightenment could be obtained by comparison analysis.

Cooperating with an App service operator that asks for a lower revenue sharing ratio will enable the App service supplier to have sufficient funds to provide high-quality update service. With the increase of network externality, adopting a high-quality service strategy can bring higher utility to the App service operator and users. Pouring attention into consumer welfare moderately will improve the App service supplier's utility. Scenario CRS can achieve a win–win goal for App SSC members and consumers.

The innovations of this paper are as follows: Firstly, the authors investigate the optimal service quality and pricing for the App SSC, which has been discussed little in previous literature. Secondly, the authors discuss how network externality and enterprises' attention to consumer welfare affect the optimal decisions and utilities of App service supply chain members. Thirdly, this paper considers four different circumstances and determines the optimal operation scenario for App SSC through comparative analysis.

The COVID-19 pandemic has made contactless services such as those provided by robots increasingly pervasive. Some stores are gradually adopting service robots to sell products, which has not been explored in previous research. This study aims to explore how appearance personification of service robots affects customer decision-making in the product recommendation context.

Based on authentic in-store product recommendation service interactions, an experiment for three simulated scenarios was conducted and data was collected from 338 valid samples.

The results show appearance personification has a positive impact on customer purchase behavior while it has negative impacts on customer decision time and degree of hesitation.

This study not only enriches the literature on application scenarios of service robots but also supplements the literature on various customer decision-making variables in the field of service robots. It provides important practical guidance for designing robots to optimize their impact on customer decision-making.

To investigate customer satisfaction with service encounters characterized by an over‐attentive level of service, and the contextual and individual factors moderating the resulting satisfaction scores.

The first of three formal experiments tests the prediction that consumer reactions vary with the margin between actual and expected levels of service. The second examines the influence of the tendency to psychological reactance on participants’ responses to excessive service. The third assesses the effect of a predisposition to suspiciousness on satisfaction scores, in scenarios which, respectively, specify that extremely over‐attentive service or “normal” service are directed at participants personally or is offered to all customers unselectively.

The first experiment found moderately excessive service to be acceptable to most participants but unexpectedly over‐attentive service to affect satisfaction negatively. The second found the negative impact of extremely over‐attentive service to be limited to participants with a greater tendency to psychological reactance. The third found that a high predisposition to suspicion resulted in lower satisfaction levels whether the scenario specified extremely over‐attentive service that was personal or on offer to all, whereas the satisfaction scores of participants with a lower predisposition to suspicion were not affected in those scenarios.

Whereas the relevant literature has focussed on customer reactions to service that falls below expectations, this paper studies service encounters in which it surpasses them. It hypothesizes a counterproductive effect on customer satisfaction and identifies contextual and individual factors that explain and predict that outcome.