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This paper aims to show that whether new customers respond well or poorly to small talk at the beginning of a service encounter depends on their relationship orientation, i.e. how exchange or communally oriented they are. The authors provide service providers with tactics to identify first-time customers’ relationship orientation or set customers’ small talk expectations and thus help them use small talk more effectively.

The authors examine the effect of small talk and relationship orientation on customer intentions to use a service provider in three experiments and one cross-sectional survey. The scenario-based experiments show causality and the effect in online and in-person scenarios. The survey replicates the effect among current customers of a small business.

Communally oriented customers respond positively to small talk, but exchange-oriented customers respond negatively to it. Mediation analyses reveal this occurs because small talk differentially leads to initial feelings of rapport and impatience for people high (versus low) in relationship orientation.

Service providers should consider customers’ relationship orientation before starting a conversation with small talk. The authors find providers can identify exchange-oriented customers by their choice of meeting format (in-person v. video chat). Managers can also use marketing materials to attract customers with a specific relationship orientation or to set customer expectations for small talk in the interaction.

Prior research has largely shown benefits to small talk, but the authors show significant downsides for some customers and to the best of the authors’ knowledge are the first to show process evidence of why these drawbacks occur.

The purpose of this paper is to shed light on the body of logistics customer service (LCS) research published in leading logistics journals from 1990 to 2017. Specifically, the paper presents a call to arms for logistics and supply chain researchers to address new and emerging issues impacting customer service in the age of omnichannel and e-commerce retailing.

The authors reviewed academic journals to identify articles focusing on LCS from 1990 through 2017. The authors noted trends in academic research activity/focus and supplemented the findings by examining more recent trends covered in trade publication articles.

The authors observed a large amount of LCS research in the early 1990s and 2000s, but noticed a substantial decline in coverage within academic journals since the late 2000s while industry continues to give customer service issues even greater attention. The difference between the level of coverage within academic journals and the increased importance firms place on customer service represents a critical gap and opportunity for scholars. This research represents a “call to arms” to address this gap. With particular emphasis on observed customer impatience and escalating requests, within omni- and e-commerce channels of distribution, we suggest greater theoretical insights into customer service strategies and their role in successfully navigating today’s changing logistics service environment are needed.

The review serves as a call for more attention to customer service issues within leading logistics journals. Suggestions for research into new and emerging topics are offered.

This paper aims to consider a single server queue with system disasters and impatience behavior are evident in our daily life. For this purpose, authors require to know the general behavior of these systems. Transient analysis shows for us how the system will operate up to some time instant t.

In this paper, authors consider a single server queue with system disaster and impatient behavior of customers in a multi-phase random environment, in which the system transits to a repair state after each system disaster. When the system is in a failure phase or going through a repair phase, the new arrivals would be impatient. In case the system is not repaired before the customer’s time expires, the customer would leave the queue and never return. Moreover, after repair, the system becomes ready for service in an operative phase with probability $q_{i} \ge 0.$. Using generating functions along with continued fractions and some properties of the confluent hypergeometric function, authors obtained on their own results.

Explicit expressions have been obtained for the time-dependent probabilities of the underlying queuing model. Also, time-dependent mean and variance of customers in the system are deduced.

The system authors are dealing with is somewhat complicated, there are some performance measures that cannot be achieved, but some of them have been obtained, such as the expectation and variance of the number of customers in the system.

Based on the obtained results, some numerical examples are some numerical examples are presented to illustrate the effect of various parameters on the behavior of the proposed system.

Authors’ studied transient analysis of a single server queue with system disaster and impatient customer system is suitable for behavior interpretation of many systems in our lives, such as telecommunication networks, inventory systems and impatient telephone switchboard customers, manufacturing system and service system.

To the best of the author’s/authors’ knowledge and according to the literature survey, in a multi-phase random environment, no previous published article is presented for transient analysis of a single server queue with system disaster and impatient customer behavior in a random environment.

Given increasing customer expectations and disturbances to product returns management, capabilities such as supply chain resilience (SCR) can complement service recovery strategies in retail supply chains. This study utilizes procedural justice theory (PJT) to conceptualize service recovery resilience as a capability that allows firms to meet customer requirements when dealing with disruptions, and empirically investigates its impact on procedural and interactional justice and customer outcomes (i.e. satisfaction and loyalty) in the context of product replacement.

This research employs two scenario-based experiments using a sample of 368 customers to explore the outcomes associated with service recovery resilience.

The investigation shows more satisfied and loyal customers when a retail supply chain can overcome service recovery challenges through SCR. The study shows that customers evaluate not only the process itself, but also their interactions with the retailer. Specifically, procedural justice and interactional justice have a significant influence on these relationships.

This study proposes service recovery resilience as a concept that bridges service recovery theory with supply chain strategy in the unique context of product replacement. Further, this study also notes how information enhances customer satisfaction with the retailer's effort to address disturbances in the recovery process. Finally, this study informs managers on the capabilities needed to face new customers' needs.

Customers will develop a stronger desire to purchase when more people are waiting in line for service due to the herding effect. However, this also leads to longer queue times, causing customers to experience a waiting patience time. This study examines these two psychological aspects of delay-sensitive customers in service systems, considering both homogeneous and heterogeneous customer scenarios to explore the optimal pricing strategy for service providers.

Using queueing theory, we construct and optimally solve the customer's service utility function and the service provider's service revenue function. Further, the model is extended to account for heterogeneous customers, solving the utility and revenue functions accordingly.

Results show that service revenue increases with the intensity of herding behavior and the length of patience time. If customers have low herding intensity and short patience time, the service provider only needs to serve a portion of the customers. For heterogeneous customers, if a large proportion exhibits high herding intensity, the service provider should focus on serving them. Otherwise, the service provider should serve all high-intensity herding customers while striving to attract low-intensity herding customers.

This paper considers the combined utility of multiple customer psychology and examines homogeneous and heterogeneous customers. The findings provide valuable managerial insights for service providers' pricing and service strategies.

The purpose of this paper is to explore how two mega-trends, e-commerce and urbanization, have the potential to reshape logistics practices around the world. Primary focus is on how Chinese business practices and logistics innovations are increasingly relevant to the USA and other western countries.

Experience-based thought piece focusing on specific Chinese logistics innovations centering on speed, adaptability and new business models.

The Chinese economy has played a key role in providing support and enabling logistics innovations in China. Key enablers include the ubiquitous connectivity and applications availability, the dynamic low-cost labor environment and government support for the Chinese logistics industry.

This study suggests new areas for research.

This study provides insights into the potential value associated with adopting innovative Chinese logistics practices.

This study provides suggested areas of attention to help focus on logistics operations on key societal trends.

Our paper provides insights into the potential value associated with adopting innovative Chinese logistics practices. We believe this represents a significant contribution as little coverage of the topics have been noted to date in leading logistics/supply chain journals.

This study aims to explore the behavioral patterns of entrepreneurs, their cognitive styles and personality characteristics that can lead to a self-destructive chain of events during the transition from a fledgling business to one capable of long-term, profitable growth. This study adopts the self-regulation attitude theory to uncover the reasons for premature start-up scaling, which will help founders to study on their cognitive biases, emotions and behaviors and make efforts to do what does not come naturally to them.

The respondents for this qualitative study were selected from a group of entrepreneurs with extensive experience with technology start-ups that have either failed or succeeded during their development stages. In-depth semi-structured interviews were conducted with eight participants, who were selected through snowball sampling, on the theme of understanding “How do premature scaling mistakes happen?”. Thematic analysis was used to unearth common themes.

The results of this study identified the following themes, “comparison,” “emotional over-reaction,” “impatience,” “mistaken customer priorities,” “overestimation” and “overconfidence,” which eventually leads to premature scaling. The underlying decision-making heuristics of entrepreneurs can be identified as engulfed in different cognitive biases and emotions resulting in negative behavioral patterns, as in the case of premature scaling. Of the six themes, “comparison,” “mistaken customer priorities,” “overestimation” and “overconfidence relates to cognitive bias” and “emotional over-reaction” and “impatience” relate to emotional factors.

The study was made possible with the support of the voluntary participants chosen by purposive and snowballing data sampling. The interviewee and interviewer biases could have also crept in as part of this qualitative approach. The study pertains only to start-ups in the information technology sector and further studies need to be done to generalize the results across industries as well.

This early-stage underestimation of unexpected obstacles in the entrepreneurship journey necessitates a focus on the entrepreneur too, as much as the concept. In these hectic and fast-paced circumstances, aspiring entrepreneurs must be taught how to deal objectively with themselves and others, as well as think strategically. Leaders who scale do so because they take purposeful measures to overcome their weaknesses through self-discipline, soliciting advice from others and using their right to change their attitude and points of view.

The study frames the new approach into the entrepreneurial literature, linking it to self-regulation attitude theory and adds to the nascent literature on neuroentrepreneurship which discuss entrepreneurial cognition, decision-making, and entrepreneurial behavior. This study attempted to explore the reasons behind the premature scaling of startups on an individual level. This study is pioneering in exploring the cognitive factors underlying an entrepreneur’s decision that results in premature scaling. This study provides insights for academicians, entrepreneurs and policymakers and helps understand the cognitive journey that leads to premature scaling.

This paper aims to study a commercially available industrial part feeder that uses an industrial robot arm and computer vision system. Three conveyor belts are arranged to singulate and circulate parts, bringing them under a camera where their pose is recognized and subsequently manipulated by the robot arm. The problem is addressed of optimizing belt speeds and hence throughput of this feeder that avoid: starvation, where no parts are visible to the camera and saturation, where too many parts prevent part pose detection or grasping.

Models are developed for intermittent and continuous motion feeding based on a 2D Poisson process. Renewal theory is applied to model intermittent motion and an M/G/1 queue with customer impatience to model continuous motion feeding. These models are verified using discrete event simulation.

The models predict and optimize feeder behaviour very accurately and it is possible to compute optimal settings for different part sizes and throughput sensitivity.

Feeder belt velocities are currently estimated based on intuition and ad hoc trial and error. The results provide a scientific alternative. The models are straightforward to implement and can provide velocity settings for feeders in industrial use.

This paper advances the scientific understanding of automation and part feeding.

Unethically behaving customers deviating from morally acceptable norms have posed an additional challenge to retailers, frontline employees (FLEs) and other customers in recent crisis-dominant environments. While research concerning customer behaviour ethicality focusses on purchasing modes and consumption behaviour, unethicality in all its facets receives limited attention, leaving dimensions of unethical customer behaviour (UCB) and effective managerial strategies unexplored. The purpose of this paper is to describe dimensions of UCB, investigate its causes, explore its consequences for customers and FLEs and infer practical implications for retail management by collecting customers' and FLEs' views in collaboration of each other.

Due to the explorative nature of this research, qualitative semi-structured interviews with 45 customers and 51 FLEs were conducted, following a content analytical approach and the establishment of inter-rater reliability coefficients.

The findings reveal multiple UCB dimensions operating on situational and individual behavioural levels, targeting mainly employees, followed by customers. The reasons for UCB arising correspond to customers' attitudes, social influences and egoistic motives. UCB imposes risks of financial losses for retailers, due to the wasting of resources as a consequence of employees' stress and emotional exhaustion, demanding managerial boundary-spanning activities. Further, it negatively impacts customers' shopping behaviours, provoking online shopping and shopping avoidance.

The study fills the research gap regarding perceived unethicality of customer behaviour by describing and explaining differing forms of UCB, considering customers' and FLEs' views in retail stores. It develops a UCB framework, identifies UCB dimensions beyond current academic research and derives specific practical implications to make the phenomenon manageable for retailers. The originality of this paper lies in the synthesis of the three UCB dimensions, consisting of antecedents, forms of UCB and consequences for customers and FLEs.