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The purpose of this paper is to understand the role of post-purchase logistic services on customer satisfaction and future purchase decision, to reveal any differences across China and Taiwan, to fill in a gap in the literature focused on post-purchase logistic activities related to shipping, return, and tracking, to provide managerial guidance in logistics for e-commerce, and to develop insights on logistic services for future research.

Using a validated survey instrument, 384 respondents in China and 145 respondents in Taiwan are collected. The research model is analyzed using component-based estimation approach to structural equation modeling.

The structural equation analysis of the study found that post-purchase shipping and tracking have an impact on customer satisfaction in both China and Taiwan. It also found that customer service is the most significant factor among the examined antecedents for online shoppers in China. While, return service is more important for shoppers in Taiwan. Finally, customer satisfaction played a stronger positive role for online shoppers in Taiwan as compared to their counterparts in China.

This research extended the current literature about post-purchase logistic services in an online shopping environment with a literature-based research model and good empirical data support. However, one limitation of the study is that the data collected represents a cross-sectional sample; future research should examine longitudinal sample to study customers’ purchase intentions over time.

This study can help both scholars and practitioners understand the importance of tracking, return, shipping, and customer service in an online shopping environment and across countries. It provides insights on designing e-commerce relevant shipping services to satisfy and attract customers across countries.

The study investigated how post-purchase activities contributed to customer satisfaction in online shopping and explored the influence of customer satisfaction on future purchase intention in China and Taiwan. This is one of the first studies available in the literature to provide empirical support and managerial insights about post-purchase activities related to shipping, tracking, and returns for e-commerce with cross-regional comparison.

The purpose of this paper is to examine the drivers, practices, and outcomes of social media use in the management of organizational supply chain.

Online questionnaire survey was used to collect data from 285 organizations representing different industries in China. The data then were analyzed with structure equation modeling using SmartPLS.

The results indicate that key antecedents such as external pressures, internal readiness, expected benefits, strategic goals, and perceived risks influence organizational social media use, which subsequently impact organizational performance outcomes in operation and marketing as well as the satisfaction level of both internal and external constituents, such as customers, employees, partners, and suppliers.

The study obtained data about one organization from only one respondent and did not used random sampling.

This study provides insights on why and how companies should use social media for relationship building and business outcomes.

Drawing from the resources-based view, social networks, strategic choice theory, and technology organization and environment framework, a new social media utilization model for business outcome was established and testified using empirical data. This study is one of the first studies that adopts technology-organization-environment (TOE) framework of technology adoption theory to study organizational social media use. The findings in this study confirm the validity of the TOE framework for analyzing social media adoption and use in various organizations.

Artificial intelligence (AI) is a rapidly growing frontier. One promising area for AI is its potential to assist sales managers in providing salesperson feedback. Despite this promise, little work has been done within the business-to-business (B2B) sales domain to investigate the potential impact of AI feedback on critical sales outcomes. The purpose of this research is to explore these issues and respond to calls in the literature to determine how AI can enhance salesperson adaptability and performance.

Survey data from a sample of 246 B2B salespeople was used to test the conceptual model and research hypotheses. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).

The findings provide broad support for the model. An AI-feedback rich environment and salesperson feedback orientation predicted perceived accuracy of AI feedback which, in turn, strengthened intentions to use AI feedback. These favorable reactions to AI feedback positively related to adaptive selling behaviors, and adaptive selling behaviors mediated the relationships between intentions to use AI feedback and organizational commitment, as well as sales performance. Contrary to expectations, it did not mediate the relationship between intentions to use AI feedback and job satisfaction.

The managerial implications of this study lie in explaining practical considerations for the implementation and use of AI feedback in the sales context.

This study extends literature on technology adoption, performance feedback and the use of AI in the B2B sales domain. It offers practical insight for sales managers and those responsible for implementing AI solutions in sales.

The purpose of this paper is to examine the implementation of IT portfolio management (IT PoM) and develop a framework guided by adaptive structuration theory to describe the key structures, features, and appropriation steps needed to effectively manage IT investments and assets.

Using a longitudinal case study approach, data were collected over an eight-month period from a US Fortune 500 company during its IT PoM implementation effort.

The case analysis highlights three major IT PoM features appropriated by the organization: creating the portfolio; assessing and analyzing the portfolio characteristics based on risk, benefits, alignment, criticality, and cost; and balancing decisions to start projects or terminate under-performing IT assets such as servers and applications. The spirit of IT PoM was interpreted differently by different stakeholders (data providers, business units, and IT PoM team) leading to resistance to implementation. The case data underscores the importance of establishing a governance steering committee and new internal structures to help push the balancing decisions across the organization.

The results are useful in developing guidelines and strategies to achieve successful implementation of IT PoM and to highlight critical factors that practitioners need to pay close attention to during an IT PoM implementation.

This study represents one of the first attempts to describe a detailed IT PoM implementation process and how IT PoM appropriation process can lead to improved decision making within the organization.