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The purpose of this paper is to study the cooperation and pricing strategies for e-commerce platforms when considering seller classification.

E-commerce platforms serve to facilitate trade and generate revenue from the participants. By classifying the sellers in the market into two types (the individual sellers vs the professional sellers), the authors examine how the interaction between the two types of sellers affects the platform’s cooperation and pricing decisions. Specifically, the authors compare two cooperation strategies for the platform: cooperating only with the professional sellers (strategy I); and cooperating with both the two types of sellers (strategy II).

When the platform attractiveness for the professional sellers is high enough, strategy II is absolutely beneficial than strategy I; whereas when the platform attractiveness for the professional sellers is low and the performance requirement of the individual sellers is relatively high, strategy I will be more beneficial.

For a platform choosing strategy II, it should make effort to differentiate between the different types of sellers by the product or service quality.

The paper is among the first to study the cooperation and pricing strategies for the e-commerce platform with seller classification.

Technology presents e-commerce as an alternative buying and selling place that is accepted by the public. The high growth of e-commerce has an impact on the sustainability of both the economic dimension, the social dimension and the environmental dimension. Indonesia is the country with the fastest-growing e-commerce but also has the second-largest plastic waste in the world. The synergy of sustainability for e-commerce is an interesting and awaited innovation. This is because sustainability has become the responsibility of all countries in the world.

A theoretical understanding of the context of sustainability in e-commerce separately focuses on a company perspective and the use of green products from a consumer perspective. It requires the involvement of e-commerce stakeholders as a whole to get comprehensive research results. The use of qualitative research methods with exploratory approaches is used in this study to reveal the concept of sustainability in e-commerce in Indonesia.

This study found similarities in the topic of acceptance of sustainability in e-commerce with a unified theory of acceptance and use of technology (UTAUT) including performance expectancy, effort expectancy, facilitating conditions, social influence and habits. Changes to the variables were revealed due to changes in the e-commerce phase. The variable trust is in the introduction phase and builds trust in e-commerce. Currently, in Indonesia, the e-commerce phase is in a phase of growth and value formation. Habit creation and dependence is a requirement for value formation. Several new topics were proposed in this study, namely, awareness, security, logistics and user interface and user experience (UX). The establishment of an e-commerce identity through UX clearly shows its target market. The e-commerce phase and the topics involved in it can become a reference for e-commerce regulation-making in Indonesia.

This study is limited to e-commerce in Indonesia with data processing limited to February 2020.

The results of this study provide an overview of increasing the intention to use e-commerce through human acceptance and engineering dimensions. This research also reveals the stages of e-commerce in Indonesia that can be used as a reference for determining the right regulations for e-commerce and the trade-offs for sustainability.

This study produces additional references to the intention to use technology by completing the UTAUT model. This study reveals changes in variables in perceived value that are interesting for further research along with technological developments and changes in people’s habits. Exploration carried out can add references to the application of sustainability in e-commerce, especially in developing countries.

This paper aims to optimize the maintenance scheduling of emergency rescue wagons in railway companies using a genetic algorithm (GA). It offers an integrated model for simultaneously solving maintenance planning, preventive maintenance, prognostic information and resource planning from which optimal levels of the system performance in terms of cost and repair time could be determined.

This study initially evaluates the previous types of research in presenting the optimal model of the rescue train wagon for maintenance and repair planning and lists the identified criteria based on experts' opinions using fuzzy analytic hierarchy process (FAHP) and stepwise weight assessment ratio analysis (SWARA) techniques. Then, the final weight of the desired criteria is calculated. Later, the final decision matrix is evaluated by the experts. The final normal decision matrix is formed to select the optimal maintenance and repair planning plan based on the GA. Finally, two strategies including joint optimization strategy of preventive maintenance planning are compared with the independent preventive maintenance planning strategy.

According to the primary results, three primary parameters, including technology, human damage caused by negligence and the average failure rate, should be considered for launching the GA model. Based on the results of the second part; by comparing the preventive maintenance planning strategy independently, the joint optimization strategy reduces the total cost of production up to 8.25%. Comparison results show that the total cost of joint optimization production is less than independent preventive maintenance and repair planning. Moreover, the value of total process time in joint optimization strategy was reduced by 1.2% compared to independent preventive maintenance (PM) planning (from 137.90 to 136.20 h).

The novelty of this paper lies on the application of the GAs to develop an optimized PM scheduling to localize the maintenance planning for maximizing productivity, avoid train accidents, reduce costs and increase efficiency and capacity.

Suggests that rapid rise of energy costs and worldwide inflation have altered pricing decisions importance. Provides an overview of the marketing literature on pricing — intending developing a conceptual framework and classification system for different types of pricing strategies in industrial markets. Strives to provide a more comprehensive basis for developing industrial pricing strategies in addition to earmarking the most relevant marketers' needs. Sectionalises the article and, in the first part, explores existing literature; the second part develops a taxonomy of purchasing situations. Closes by linking the pricing topics, identified previously, to the different purchasing situations. Lists, by topic, the articles used and these are in the Appendix to enable quick reference to potential users. Employs tables for extra emphasis to aid in explanation along with 2 Appendixes.

Social commerce sites offer fertile ground for users to communicate product information. Given that such sites have the potential to transform the way of doing business, it is clearly important for academics to understand user information sharing on social commerce sites. Existing research has considered motivations as core elements of user information sharing in online communities. The purpose of this paper is to advance the theoretical understanding of user information sharing by investigating differences in motivations between the different user types of social commerce sites: sellers and buyers, and the impact on social commerce.

The authors conducted an empirical study by analyzing data from a social commerce site in China, including panel data (n=892) and survey data (n=913).

This research showed that user type (i.e. sellers and buyers) plays an important moderating role in user information sharing: sellers exert a positive moderating effect on utilitarian and social motivations, while buyers are found to have a positive moderating effect on hedonic motivation.

This study contributes to existing literature, not only by exploring the antecedents of user information sharing on social commerce sites from utilitarian, hedonic and social dimensions, but also by providing an evaluation of user types (i.e. sellers and buyers). The authors believe that the results of this study offer important and interesting insights for IS research and practice.

This study will enhance social commerce site managers’ understanding of better features for information sharing and differences in motivation between sellers and buyers. This could improve the effectiveness of encouraging strategies and help social commerce sites be more sustainable in the highly competitive contemporary environment.

Based on social exchange theory and motivation theory, this paper takes user types into account, and postulate that user type (i.e. sellers and buyers) plays a moderating role in the relationships between motivations (i.e. utilitarian, hedonic and social motivation) and user information sharing intention on social commerce sites.

Drawing on insights from the extant service‐quality literature (which is dominated by an end‐consumer focus), this paper examines customer service in business‐to‐business markets. It first presents a typology of seller‐customer links and discusses the domain of customer service in business‐to‐business contexts. It then develops a research agenda by identifying a variety of issues pertaining to the scope, measurement, and potential impact of customer service in such contexts. It is hoped that this agenda will stimulate further discussion on the role of customer service in business and industrial marketing, and motivate much‐needed research on this topic.

The purpose of this paper is to explore a central issue in industrial marketing, namely the buyer‐seller relationship, by focusing on how its development influences and is influenced by the use of B2B e‐commerce strategies. More specifically, the paper aims at identifying what kinds of B2B electronic interactions are imposed by influential buyers; exploring the link between these electronic interactions and the buyer‐seller relationship; and seeing how influential buyers and SME suppliers adapt their own strategies in this online environment.

The multi‐case study methodology was used to allow for rich data collection and analysis and to support the discovery of patterns.

The results indicate that large buyers use specific e‐commerce processes and tools for the different relationships they have with their SME suppliers. The latter must adapt to these requirements to attain the next relationship level or risk forfeiting their established position. When a supplier reaches the new level, other requirements arise, forcing it to continuously adapt its e‐commerce strategy.

The model proposed in this paper can serve as a tool to align B2B e‐commerce strategies and buyer‐seller relationship levels.

Some SME suppliers have developed a competitive advantage by going through this cycle faster than their competitors. The following relationship stages were observed: pre‐relationship, spot relationship and contractual relationship. Interestingly, there was no collaboration stage in the relationships studied.

The paper contributes to an understanding of the link between electronic interactions and the buyer‐seller relationship. Its information is particularly relevant to organizations that transact or plan on transacting electronically with clients or suppliers in a B2B setting.

This study examines the extent to which retailer's country of origin and product assortment influence retailer operating practices. Although conventional wisdom suggests practices are likely to vary by country, universal aspects of the retailing task may lead to similarities in retailing practices for a given product, regardless of national setting. To empirically investigate whether country or product is the dominant influence in determining retailer behavior, data on retailer activities in India and Africa is examined.

Due to the cross-network effect, two-sided users communicate with each other, producing a coupling network. To study the spread of platform self-operation in two-sided users' marketing and purchasing tactics, this paper considers the differences in reputation acquired by platform-owned and third-party operating channels.

This study proposes a two-layer network with cross-network links: one layer represents the social network of consumers, while the other layer represents the competitive network of buyers. A closed system of differential equations, based on the binary dynamics of the stochastic network, is developed to study the trend and stability points of the platform self-operation dissemination. Then the overall benefits of platform are analyzed to unify the platform diffusion and pricing strategies.

The degree of difference in social influence and cross-network effects affect diffusion synergistically. Cross-network effects hinder diffusion when there is a significant difference of social influence between consumers and sellers but promote diffusion when there is little difference of social influence between consumers and sellers. Additionally, the network weights and reputation gap exhibit a nonlinear correlation with diffusion. For pricing strategy of the platform, it can achieve maximum profit when the pricing of self-operated goods and third-party-operated goods is equal.

This study considers the complex network architecture created by bilateral markets and the dynamic influence of group interactions on product. Additionally, this study takes reputation into account when considering the price and dissemination tactics of various operating channels, offering guidelines for platforms to control merchants and mediate disputes between various operating channels.

Discusses marketing strategy of a future steelworks and its product choice by use of a theoretical framework based on the nature of relationship between sellers and customers. Identifies certain key factors which must be incorporated in strategy development to enable competitive strength to the seller. Describes marketing as a competitive strategy problem — it is a question of the seller dividing its resources in an optimal way between a number of competitive means. Proposes that buying firms often develop relationships with a limited number of suppliers — these are then utilised in various ways. States that industrial marketing is primarily a technological and organisational problem. Says that the research project was the result of collaboration between researchers in the technical, social and economics fields with the aim to create a business entity to establish a secure position in the steel market. Further discusses in depth the strategies involved. Summarises that a theoretical framework for marketing strategies in industry has been presented and illustrated through a case about a future steelworks — though similar frameworks have been used in existing companies — test results have been promising.