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Technology is an important force in the entrepreneurial ecosystem as it has the potential to impact entrepreneurial opportunities and processes. This paper explores the emerging technology of artificial intelligence (AI) and its implications for reverse logistics within the circular economy (CE). It considers key reverse logistics functions and outlines how AI is known to, or has the potential to, impact these functions.

The paper is conceptual and utilizes the literature from entrepreneurship, the CE and reverse logistics to explore the implications of AI for reverse logistics functions.

AI provides significant benefits across all functions and tasks in the reverse logistics process; however, the various reverse logistics functions and tasks rely on different forms of AI (mechanical, analytical, intuitive).

The paper highlights the importance of technology, and in particular AI, as a key force in the digital entrepreneurial ecosystem and discusses the specific implications of AI for entrepreneurial practice. For researchers, the paper outlines avenues for future research within the entrepreneurship and/or CE domains of the study.

This paper is the first to present a structured discussion of AI's implications for reverse logistics functions and tasks. It addresses a call for more research on AI and its opportunities for the CE and emphasizes the importance of emerging technologies, particularly AI, as an external force within the entrepreneurial ecosystem. The paper also outlines avenues for future research on AI in reverse logistics.

The purpose of this paper is to explore in depth the mechanisms that organizations use to keep their innovations secret. This paper examines how, when and why secrecy appropriation mechanisms (SAMs) can enable innovators to appropriate value from their innovations.

Building from an extensive literature review of innovation and secrecy, the paper presents a number of implications for theory and research in the form of testable propositions.

This conceptualization proposes that SAMs can have both positive and negative effects on a number of organizational dynamics. SAMs involve tradeoffs, and the key to understanding whether they create value to organizations lies in understanding that these tradeoffs exist and the nature of these tradeoffs.

While most managers recognize the importance of secrecy in innovations, many struggle with the practical challenges of doing so. The paper presents guidance for managers to overcome these challenges.

This paper adds to previous research that has identified secrecy as an important appropriation mechanism for firms by digging deeper into the details of SAMs and exploring their sources, characteristics and effects.

This methodological paper demonstrates how service firms can use digital technologies to quantify and predict customer evaluations of their interactions with the firm using unstructured, qualitative data. To harness the power of unstructured data and enhance the customer-firm relationship, the use of computerized text analysis is proposed.

Three empirical studies were conducted to exemplify the use of the computerized text analysis tool. A secondary data analysis of online customer reviews (n = 2,878) in a service industry was used. LIWC was used to conduct the text analysis, and thereafter SPSS was used to examine the predictive capability of the model for the evaluation of customer-firm interactions.

A lexical analysis of online customer reviews was able to predict evaluations of customer-firm interactions across the three empirical studies. The authenticity and emotional tone present in the reviews served as the best predictors of customer evaluations of their service interactions with the firm.

Computerized text analysis is an inexpensive digital tool which, to date, has been sparsely used to analyze customer-firm interactions based on customers' online reviews. From a methodological perspective, the use of this tool to gain insights from unstructured data provides the ability to gain an understanding of customers' real-time evaluations of their service interactions with a firm without collecting primary data.

This research contributes to the growing body of knowledge regarding the use of computerized lexical analysis to assess unstructured, online customer reviews to predict customers' evaluations of a service interaction. The results offer service firms an inexpensive and user-friendly methodology to assess real-time, readily available reviews, complementing traditional customer research. A tool has been used to transform unstructured data into a numerical format, quantifying customer evaluations of service interactions.

This vision article alerts service managers to the potential of cognitive computing to reframe their value propositions. Humans are bounded in three ways: perception, rationality and physicality. Cognitive computing, hardware or software that transcends these three limits, offers many opportunities to improve the performance of service systems, in particular those focused on customer engagement. The intangibility spectrum is presented as a mental model for service managers to consider how to use cognitive computing to support augmenting their value proposition by moving across the spectrum.

Three frameworks are integrated: a five systems framework, a system's impact classification of types of cognitive computing and a tangibility spectrum.

Three examples illustrate the potential value of this integrative approach for service management.

This is the first integration of these frameworks, and two of them are the result of the first author's research.

Online brand communities provide a wealth of insights about how consumers perceive and talk about a brand, rather than what the firm communicates about the brand. The purpose of this paper is to understand whether the brand personality of an online brand community, rather than of the brand itself, can be deduced from the online communication within that brand community.

The paper is empirical in nature. The authors use community-generated content from eight online brand communities and perform content analysis using the text analysis software Diction. The authors employ the five brand personality dictionaries (competence, excitement, ruggedness, sincerity and sophistication) from the Pitt et al. (2007) dictionary source as the basis for the authors’ analysis.

The paper offers two main contributions. First, it identifies two types of communities: those focusing on solving functional problems that consumers might encounter with a firm’s offering and those focusing on broader engagement with the brand. Second, the study serves as a blueprint that marketers can adopt to analyze online brand communities using a computerized approach. Such a blueprint is beneficial not only to analyze a firm’s own online brand community but also that of competitors, thus providing insights into how their brand stacks up against competitor brands.

This is the first paper examining the nature of online brand communities by means of computerized content analysis. The authors outline a number of areas that marketing scholars could explore further based on the authors analysis. The paper also highlights implications for marketers when establishing, managing, monitoring and analyzing online brand communities.

This paper aims to explore how business-to-business (B2B) salespeople use social media and emulate value creation strategies used by social media influencers.

Using 28 interviews with salespeople, this paper develops six propositions and a conceptual framework that outlines when and how B2B salespeople use social media in value-creating sales.

This study’s findings provide a critical analysis of when social media are most effective and beneficial in supporting salespeople’s value-creating sales in various stages in the sales process (e.g. prospecting, opening relationships, qualifying prospects and serving accounts) and when they are less effective (e.g. presenting sales messages and closing sales).

This research yields a substantive understanding of the evolving role that social media play in B2B sales by examining B2B salespeople’s value creation strategies through the lens of social media influencers’ practice and outlines ideas for future research on B2B salespeople’s social media strategies.

The findings of this research can be used by B2B organizations to structure the training of B2B salespeople to use social media to the fullest extent by aligning specific strategies with different parts of the sales process.

This paper contributes by summarizing the B2B sales literature on social media and integrating recent insights from the social media influencer literature; empirically identifying how B2B salespeople use social media to create value, thus validating previous findings and extending understanding by offering a set of six theoretical propositions; and delineating B2B salespeople’s social media practice into 11 value creation strategies that are critically explored for their place in the sales process.

The purpose of this paper is to illustrate how brand personality and its dimensions can be applied to wine tourism, and how a content analysis of the text taken from a wine estate’s website can be used to derive a snapshot of how brand personality is communicated.

The paper uses the text analysis software DICTION to identify the extent to which each estate’s website communicates the brand personality dimensions of excitement, competence, ruggedness, sincerity and sophistication, and then agglomerates the scores of individual estates within a region to overall scores for the country or wine region in which they are located.

Major findings are that the southern hemisphere producers, Australia, New Zealand and South Africa, communicate all five brand personality dimensions to a greater extent than do the northern hemisphere regions of Bordeaux and Napa. Furthermore, while the levels of brand personality communication may differ, all countries and regions seem to follow the same pattern, or stated differently, emphasize the same brand personalities as their international counterparts. Excitement is the main dimension communicated, and then sincerity. Ruggedness and competence are communicated to a lesser extent and sophistication is hardly communicated at all.

The countries/regions selected for the study are among the most popular tourist destination wineries within five of the world’s prominent wine producing countries and regions. However, this selection is arbitrary and were also carefully chosen merely by the simplicity and convenience afforded by a Google search. The results are also an aggregation of the wineries within a region and does not give any indication of the brand personality of a single website for a winery with in a region, which might be very different from the aggregation.

Wine tourism is a big business for many wine estates as well as regional and national economies, generating huge potential for economic growth and job creation above and beyond the production and sale of wine. The paper offers a practical insight for wineries that want to portray themselves to the world and especially to their target customers. At a general level, the approach illustrated here provides a way for those who manage wine tourism at the national, regional and estate levels to gauge whether the personality of their brand is being communicated online as they intend it to be.

Wine tourism is very social in nature, and the findings in this study offers a unique understanding of how customers could perceive their destination especially where they are looking to experience the wine estate among similar minded people. A wine estate marketer might wish to be conveying a personality of sophistication and competence, and then be informed by a study like this that the brand is instead being communicated as exciting and sincere.

The paper illustrates the use of powerful content analysis software, DICTION, to determine the extent to which this text specifically communicates dimensions of brand personality, and in broader terms gives a feel for the tone of text. Regular use of the technique helps wine marketing decision makers to track their own brand’s personality as well those of competitors over time.