Search results

This study aims to reveal and prioritize the main barriers and challenges in front of the Logistics 4.0 transformation, which is the extension of Industry 4.0. Also, this study presents a roadmap for a company operating in developing countries to reduce and eliminate challenges and hurdles for each link in their supply chain.

A two-stage methodology was used in this study. First, a detailed literature review was conducted to identify the barriers to innovations compatible with Industry 4.0. Hence, barriers have been identified, including nine from the literature review. The best–worst method (BWM) is then used to determine these barriers’ weights and order of importance. To implement BWM, two-stage e-surveys are applied to experts.

The “Managerial and Economic Challenges” dimension is the most important, and “Regulatory and social challenges” is the least essential dimension among the main dimension. Moreover, financial constraints or capitals are the most critical barriers among the sub-barriers. This study gives the reader a comprehensive insight into how detected barriers affect digitalization performance. Therefore, this framework is a roadmap designed with a holistic view to guide manufacturers, logistics parties and even policy and decision-makers.

Theoretically and empirically identifies the potential barriers and challenges in the digital transformation of logistics is already missing at the desired level. From this point of view, to the best of the authors’ knowledge, this study is the first research that determines barriers based on the Logistics 4.0 model with an industrial perspective. One of the most important limitations of this study is that a total of nine dimensions were examined under only three basic barriers. Different alternatives can be identified for future studies.

Focusing only on the characteristics of the wine and the type of production is insufficient to give a holistic idea on consumer’s organic wine consumption behavior. Therefore, this study aims to examine the impact of attitude, perceived behavioral organic wine consumption, theory of planned behavior (TPB) control and subjective norms on organic wine consumption intention and behavior.

Drawing on the TPB, a theoretical model was developed and tested by partial least squares structural equation modeling method. The sample of the research consists of 304 participants from the vineyards in Izmir/Turkey.

The main result of this study reveals that the theoretical model belonging to the TPB is also valid in the case of organic wine consumption behavior. Specifically, research results indicate that attitude has the strongest direct impact on intention and indirect impact on organic wine consumption behavior while perceived behavioral control has the least impact.

Prediction of organic wine consumption behavior from the perspective of the TPB presents the originality of this paper.

Impact of the digitalization on the production and service sector is a highly popular topic in these days and especially, new business models receive increasingly more attention. Under the light of digitalization, the Fourth Industrial Revolution, so-called Industry 4.0, and its impacts on all kinds of process is a promising topic in the academia and also beneficial for the practitioners. Since there are arguments from scholars that Industry 4.0 has an important and shaping effect on marketing, the concept of 7P's in marketing should be incorporated in Industry 4.0 elements. From this point of view, this study focuses on developing the understanding of 7P's based on contemporary perspectives of Industry 4.0.

In order to do that, different criteria related to integration of Industry 4.0 and marketing practices under each marketing-mix element are presented and one of the multi-criteria decision-making (MCDM) methods, the best–worst method (BWM) is used to prioritize the criteria for future implications.

Results indicated that product, process and physical evidence are the most affected marketing-mix factors by considering Industry 4.0. managerial implications which were also presented based on the numerical results.

An in-depth analysis of literature review related to Industry 4.0 revealed that changing and developing technologies are examined in detail mostly around a production perspective. In order to fulfill the gap in the knowledge, this study focuses on the examination of impacts of Industry 4.0 on the marketing-mix strategy. To the best of the authors’ knowledge, this is the first study which merges Industry 4.0 with the marketing mix.

In recent years, the business of container lines has faced severe challenges such as overcapacity and low profitability. To survive in such a competitive market, container lines need to maintain long-term customer relationships by enhancing the satisfaction and loyalty of customers. The purpose of this paper is to adopt a social exchange theory (SET) approach and investigate the impact of relational bonding strategies on the satisfaction and loyalty of customers in container shipping.

Drawing on SET, a theoretical model that specifies the relationships between relational bonding strategies, customer satisfaction and loyalty was proposed. Survey data were collected from 175 freight forwarders. The obtained data were analyzed using structural equation modelling.

The results indicate that financial bonding strategies have the most significant direct effects on customer satisfaction, while social bonding strategies have the strongest direct impact on customer loyalty. Financial bonding strategies, on the other hand, have the strongest total effects on customer loyalty. Intermodal and basic operations are found to have the equal total effects on customer loyalty.

By identifying the most effective relational bonding strategies for enhancing customer satisfaction and loyalty, this study’s findings allow container lines to better allocate their resources and implement effective relational marketing policies to satisfy and retain their customers.

This research analyses and validates the determinants of customer satisfaction and loyalty from a relational lens and empirically contributes to the field of relational marketing in the container shipping industry.