Assessment of logistics service quality using the Kano model in a logistics-triadic relationship

2017 ◽  
Vol 28 (2) ◽  
pp. 680-698 ◽  
Author(s):  
Jea-Il Sohn ◽  
Su-Han Woo ◽  
Taek-Won Kim

Purpose The purpose of this paper is to evaluate logistics service quality using the Kano’s service quality model in the logistics-triadic context. Design/methodology/approach This study undertakes a survey research in semiconductor manufacturing equipment (SME) industry. Logistics service quality is categorized using Kano’s classification and a comparison is made of the perception of three sample groups who are SME firms, semiconductor manufacturers (SMs) and third-party logistics (TPL) providers. Findings Several attributes of logistics service quality are evaluated as “Must-be” quality which does not contribute to customer satisfaction, indicating existence of the non-linear relationship between some logistics service quality attributes and customers’ satisfaction. The group comparison reveals that TPL firms perceive most quality attributes as “Attractive” and “One-dimensional” whereas SMs and SME firms perceive more attributes as “Must-be.” Research limitations/implications Logistics service quality elements should not be used in the same way assuming the same effect of logistics service elements on customer satisfaction. It should be also noted that logistics service quality attributes have different effect on satisfaction according to the positions in the logistics triad. Practical implications This paper provides SME firms with useful information on how to manage their logistics service quality to improve customer satisfaction. SME firms and TPL providers need to arrange a collaborative format where logistics service quality is regularly monitored and three members discuss solutions to improve their quality performance. Originality/value This study is a rare empirical investigation to actually assess and compare perception on logistics service quality among the entities in a logistics triad. This study applies the Kano model to the triadic relationship in logistics service provision, which may be the first attempt to the authors’ best knowledge.

2020 ◽  
Vol 33 (1) ◽  
pp. 125-140 ◽  
Author(s):  
Barbara Gaudenzi ◽  
Ilenia Confente ◽  
Ivan Russo

PurposeThis study aims to investigate the logistics service quality (LSQ) from a supply chain quality perspective. The purpose is twofold: (1) to investigate how business customers perceive the LSQ dimensions in business-to-business (B2B) relationships, with a particular focus on the role of logistics service providers and (2) to analyse the manner in which such dimensions, when combined, lead to high levels of customer satisfaction.Design/methodology/approachData collected through a survey of a sample of Italian food companies are analysed using a qualitative comparative analysis approach. The analysis explores ways of achieving customer satisfaction through different combinations of LSQ dimensions and not only via a “single recipe,” as in most symmetrical methods.FindingsThe study describes how seven dimensions of LSQ lead to achieve customer satisfaction, particularly highlighting and discussing how the different LSQ constructs lead to gain high customer satisfaction via different configurations. This approach is unique in identifying not only linear relationships among variables as traditional statistical methods do, via a configurational approach.Research limitations/implicationsMost academic studies in the related literature investigate service quality from a quality management and a supply chain management perspective. This study fills the existing gap in the analysis of B2B relationships, focusing on the role of third-party logistics (3PL) service providers.Practical implicationsThe study presents useful implications for practitioners, describing several ways in which 3PL service providers can combine LSQ dimensions to perform a continuous improvement of customer experience and to gain higher levels of customer satisfaction.Originality/valueThis study fills the existing gap in the analysis of B2B relationships, using the lens of quality management and supply chain management perspectives, and focusing on the role of 3PL service providers.


2017 ◽  
Vol 28 (4) ◽  
pp. 1099-1122 ◽  
Author(s):  
Siqi Ma

Purpose The purpose of this paper is to investigate the effect of a dimension of logistics service quality (delivery time) interacting with shipping charges and purchase importance on customer satisfaction and purchase intentions in an e-commerce context. Uncertainty in terms of perceived ambiguity and perceived riskiness is shown to be the theoretical mechanism that plays a mediating role in the relationships between delivery time and customer satisfaction, as well as between delivery time and purchase intentions. Design/methodology/approach This study used a scenario-based role playing experiment. Three variables are manipulated in the design of the study – delivery time, shipping charges, and purchase importance. Participant responses (n=360) were collected through Amazon Mechanical Turk with perceptual measures. Findings Results indicated that increased delivery time significantly increased customers’ perceived ambiguity and perceived riskiness which reduced satisfaction as well as negatively impacted purchase intentions. Further, free shipping reduced customers’ perceived ambiguity when delivery time was lengthy, but strengthened the perception of ambiguity when the delivery time was short. Originality/value This paper sheds light on how a dimension of logistics service quality (delivery time) interacts with shipping charges and purchase importance to impact customer satisfaction and purchase intentions. It introduces uncertainty in the form of perceived ambiguity and perceived riskiness, to the logistics service literature as the mechanism that can explain how delivery time interacting with shipping charges and purchase importance impact customer satisfaction and purchase intentions. The implications for online retailers are that they should display separate shipping charges for shorter delivery times but for longer delivery times they should display a total price for the product which includes the shipping cost. Also when the purchase is important to the customer, they should offer shorter shipping time choices if they want to increase customer satisfaction.


2018 ◽  
Vol 120 (11) ◽  
pp. 2599-2614 ◽  
Author(s):  
Suhaiza Zailani ◽  
Shima Jafarzadeh ◽  
Mohammad Iranmanesh ◽  
Davoud Nikbin ◽  
Nur Izatul Irani Selim

PurposeThe purpose of this paper is to devise and test a model of halal logistic service quality.Design/methodology/approachTo develop the halal logistics service quality model, the relevant literature was reviewed and a qualitative study was carried out on halal logistics service providers and their customers. A survey of 253 halal food and beverage firms in Malaysia was conducted, and based on the results, a model was developed and tested empirically.FindingsBased on the literature review, interviews, pretest and empirical study, a valid and reliable measurement instrument for halal logistics service quality was developed.Practical implicationsThe findings can help managers of halal logistics service providers to understand the criteria that halal food and beverage firms are considered to judge the quality of halal logistics services.Originality/valueThis study makes a valuable contribution by proposing a halal logistics service quality model.


2015 ◽  
Vol 33 (4) ◽  
pp. 457-470 ◽  
Author(s):  
Nirmalya Bandyopadhyay

Purpose – The purpose of this paper is to classify service quality elements using Kano’s two-way quality model in terms of their instrumentality to customer satisfaction. Design/methodology/approach – Service quality attributes as borrowed from the literature are classified into attractive, one dimensional, and must-be quality elements. Combinations of participants’ response to the functional and dysfunctional questions formed around each service quality element in the Kano evaluation table were instrumental in categorizing service quality elements. Customer satisfaction index in the form of satisfaction increment index (SII) and the dissatisfaction decrement index (DDI) is calculated for each of the quality attributes and service quality dimensions. Findings – Out of the 15 service quality elements two are attractive quality, six are one-dimensional quality, and seven are found to be of must-be quality. No attribute can be identified as indifferent quality or reverse quality. The convenience dimension and the operating hours attribute list on top in terms of satisfaction increment index score. The reliability dimension and the courteousness attribute list on top in terms of dissatisfaction decrement index score. Practical implications – The findings help the marketer to prioritize improvement of service quality elements and/or dimensions to satisfy customers. Originality/value – The paper develops an integrated approach to facilitate marketers identify which of the service quality elements and/or dimensions require attention to strategize effectively in order to achieve a competitive advantage in the marketplace.


2016 ◽  
Vol 116 (3) ◽  
pp. 388-415 ◽  
Author(s):  
Yong Lin ◽  
Jing Luo ◽  
Shuqin Cai ◽  
Shihua Ma ◽  
Ke Rong

Purpose – The purpose of this paper is to explore the quality factors influencing customer satisfaction in the electronic commerce (e-commerce) context using a triadic view of customer-e-retailer-third-party logistics provider, and to investigate the impacts of service quality on customer satisfaction and loyalty in the e-retailing supply chain. Design/methodology/approach – A literature review is used to determine the conceptual model and develop the measurement scales. Data are collected through a web survey mainly conducted in China. Structural equation modeling is used to analyze the collected data and test the research hypotheses. Findings – The results verify the proposed service quality framework, consisting of two dimensions (electronic service (e-service) quality and logistics service quality), in the e-commerce context. The results indicate that e-service quality and logistics service quality are strongly linked to customer satisfaction; that is, with e-service and logistics service, respectively. e-Service quality positively impacts customer satisfaction with logistics services, but logistics service quality negatively impacts customer satisfaction with e-services. Moreover, customer satisfaction with e-services is positively associated with customer loyalty for both e-services and logistics services. However, customer satisfaction with logistics services has no direct impact on related customer loyalty, and negatively impacts customer loyalty with e-services. Research limitations/implications – The survey focusses only on China; future data should verify whether different cultural backgrounds will impact the research results. Practical implications – The results show that e-retailers should not only focus on e-service quality, but also logistics service quality, which is critical to the success of e-commerce. Originality/value – A two-dimensional (e-service and logistics) service quality framework is proposed and empirically assessed in the context of the e-retailing supply chain. These impacts of the path of service quality on customer satisfaction and loyalty are highlighted.


2020 ◽  
Vol 48 (6) ◽  
pp. 629-648
Author(s):  
Metehan Feridun Sorkun ◽  
Işık Özge Yumurtacı Hüseyinoğlu ◽  
Gülmüş Börühan

PurposeThis study aims to reveal how omni-channel capability leads to customer satisfaction by examining the mediating roles of flexibility and operational logistics service quality (LSQ).Design/methodology/approachConsumers who had previously shopped from any particular retailer's both online and physical stores were surveyed to collect data on research constructs. Structural equation modelling and bootstrapping were employed to test research hypotheses.FindingsThis study shows the double mediation of flexibility and operational LSQ in the effect of omni-channel capability on customer satisfaction. Despite this indirect effect, omni-channel capability does not directly affect customer satisfaction, implying the full mediations of flexibility and operational LSQ. However, these mediating effects could not be verified for certain types of retailers (e.g. electronic retailers).Originality/valueBy using the theoretical lens of capability–service quality–performance triad (C-SQ-P), this study shows how omni-channel capability and flexibility affect customer satisfaction through operational LSQ. Hence, an original finding is that developing omni-channel capability may not be sufficient for customer satisfaction and that it may need to be supported by flexibility and operational LSQ. It additionally reveals that the mediations of flexibility and operational LSQ hinge on the type of retailing industry examined. Thus, this study draws on the necessity of investigating the contingent roles of flexibility and operational LSQ in omni-channel retailing for customer satisfaction.


2020 ◽  
Author(s):  
Sesilya Kempa ◽  
Novia Chandra Tanuwijaya ◽  
Zeplin Jiwa Husada Tarigan

Fierce competition in the manufacturing field leads many manufacturing companies to shift their way of work. This shift was done by implementing supply chain management practices. The companies collaborate by implementing supply chain collaboration, including collaboration between Small Medium Enterprise (SMEs) and Third Party Logistic (3PL) where both parties share the benefits and risks. This study aims to examine the impact of supply chain collaboration on customer satisfaction through logistic services. The data were collected from SMEs engaged as 3PL partners in the East Java region with a total of 75 SMEs. The questionnaires were distributed on 60 SMEs in which further proceeded by 42 SMEs with a response rate of 70 %. PLS (Partial Least Square) was used to process the data with the following results: i) supply chain collaboration influenced service quality relational logistics at 0.790; ii) supply chain collaboration did not have a significant impact on operational logistics service quality; Third, relational logistics service quality had a significant impact on operational logistics service quality at 0.466 and customer satisfaction at 0.197; Fourth, operational logistics service quality had an impact of 0.600 on customer satisfaction. Keywords: customer satisfaction factor; operational logistic service quality; relational logistic service quality; third party logistic


2014 ◽  
Vol 9 (2) ◽  
pp. 215-237 ◽  
Author(s):  
Yannis Politis ◽  
Apostolos Giovanis ◽  
Spyridon Binioris

Purpose – The purpose of this paper is to implement a multi-criteria preference disaggregation approach to measure logistics service quality (LSQ) of manufacturing companies’ supply chains. Design/methodology/approach – A total 216 Greek manufacturing companies took part in a survey with the use of a dedicated questionnaire. They were asked to assess the LSQ of their primary supplier regarding a predefined set of criteria and sub-criteria. The data were analysed with the multi-criteria satisfaction analysis method, which represents an ordinal regression based approach used for customer satisfaction measurement. Findings – Weak points of the suppliers as well as dimensions that drive satisfaction were identified. Furthermore, the competitive advantages of the suppliers as well as their priorities for improvement were spotted. Research limitations/implications – The sampling framework, including only the manufacturing companies operating in a specific area of Greece, does not ensure the full generalisation of the results. A larger sample of manufacturing companies from all over Greece would be useful to obtain more reliable results and would enable the comparison of LSQ for different manufacturing sectors. Practical implications – The method used to assess LSQ of manufacturing companies can be installed as a permanent customer satisfaction barometer to measure, control and improve the LSQ provided to manufacturing companies as well as to other business sectors. Originality/value – This paper proposes a method to explore the relationships between LSQ and industrial customers’ satisfaction to prioritise strategic plans of companies in the supply chains.


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