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The purpose of this study is to revisit the conventional wisdom about a key contribution [i.e. strengths, weaknesses, opportunities, threats (SWOT) analysis] in the field of strategic management. The societal context and the role of academics, consultants and executives is taken into account in the emergence of SWOT analysis during the 1960–1980 period as a pivotal development within the broader context of the satisfactory, opportunities, faults, threats (SOFT) approach. The authors report on both the content and the approach, so that other scholars seeking to invigorate indigenous theories and/or underreported strategy practices will thrive.

Applying a historiographic approach, the authors introduce an evidence-based methodology for interpreting historical sources. This methodology incorporates source criticism, triangulation and hermeneutical interpretation, drawing upon insights from robust evidence through three iterative stages.

The underreporting of the SOFT approach/SWOT analysis can be attributed to several factors, including strategy tools being integrated into planning frameworks rather than being published as standalone materials; restricted circulation of crucial long-range planning service/theory and practice of planning reports due to copyright limitations; restricted access to the Stanford Research Institute Planning Library in California; and the enduring popularity of SOFT and SWOT variations, driven in part by their memorable acronyms.

In the spirit of a renaissance in strategic planning research, the authors unveil novel theoretical and social connections in the emergence of SWOT analysis by combining evidence from both theory and practice and delving into previously unexplored areas.

Caution is advised for scholars who examine the discrete time frame of 1960–1980 through mere bibliometric techniques. This study underscores the risks associated with gathering incomplete and/or inaccurate data, emphasizing the importance of triangulating evidence beyond scholarly databases. The paradigm shift of strategic management research due to the advent of large language models poses new challenges and the risk of conserving and perpetuating academic urban legends, myths and lies if training data is not adequately curated.

Large-scale text-based data increasingly poses methodological challenges due to its size, scope and nature, requiring sophisticated methods for managing, visualizing, analyzing and interpreting such data. This paper aims to propose semantic network analysis (SemNA) as one possible solution to these challenges, showcasing its potential for consumer and marketing researchers through three application areas in phygital contexts.

This paper outlines three general application areas for SemNA in phygital contexts and presents specific use cases, data collection methodologies, analyses, findings and discussions for each application area.

The paper uncovers three application areas and use cases where SemNA holds promise for providing valuable insights and driving further adoption of the method: (1) Investigating phygital experiences and consumption phenomena; (2) Exploring phygital consumer and market discourse, trends and practices; and (3) Capturing phygital social constructs.

The limitations section highlights the specific challenges of the qualitative, interpretivist approach to SemNA, along with general methodological constraints.

Practical implications highlight SemNA as a pragmatic tool for managers to analyze and visualize company-/brand-related data, supporting strategic decision-making in physical, digital and phygital spaces.

This paper contributes to the expanding body of computational, tool-based methods by providing an overview of application areas for the qualitative, interpretivist approach to SemNA in consumer and marketing research. It emphasizes the diversity of research contexts and data, where the boundaries between physical and digital spaces have become increasingly intertwined with physical and digital elements closely integrated – a phenomenon known as phygital.

Modern academic links between leadership and strategy were forged in the early 1960s with the heightened application of strategy to business planning. These links were soon dissolved by the strategy consultants who came to dominate the field of business strategy in the mid-1960s. The consultants dismissed the role of leadership in strategic planning in favor of objective analyses of the external environment that eliminated any need for leadership skills, judgment, values, or intuition. Failures to implement strategy in the 1980s led to limited roles for leaders in implementing strategies they had no role in creating, but the gulf between leadership and strategy has steadily widened.

This paper traces the consequences of this widening gulf for teaching leadership and strategy in the classroom. It explores how an integrated approach to teaching leadership and strategy would better prepare today’s students for the challenges they will face as future business leaders.

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.

The purpose of this paper is to put forward the argument that New Zealand’s tourism industry generally fails to acknowledge the importance of the access market. Despite anecdotal evidence of the market’s value and strong legislation, New Zealand’s access market arguably remains underserviced and misunderstood. The current research sought to explore social and business rationales to support a future for accessible tourism in New Zealand, from the perspectives of its key stakeholders. It sought to uncover contemporary issues in the tourism industry, to examine the capacity and context for which issues can be addressed and overcome, to achieve a future for accessible tourism in New Zealand.

Under the interpretive paradigm, original, exploratory research was conducted. Semi-structured interviews were carried out with ten key New Zealand tourism industry stakeholders who agreed to participate in the research. Qualitative data were thematically analysed. The following five key themes inductively emerged from the data: “Accessibility as a human right: Developing a culture of accessibility”; “Accessible tourism: Good for business?”; “Bottom-up, market-led approach”; “Leadership from the top: Moving from apathy to action”; and “Meeting somewhere in the middle”. The five themes correspond to themes evidenced in the wider literature and present propositions for the future development of accessible tourism in New Zealand.

Findings revealed stakeholder opinions of an industry exemplifying minimal awareness and consideration for accessibility. Accessibility was perceived to be an issue of social change, requiring the achievement of a cultural shift where accessibility is envisioned as a cultural norm necessary for the future. Whilst top-down leadership and support were deemed pertinent, ownership and accountability were seen to be crucial at the lower, operational levels of the industry. A “meeting in the middle” was reported necessary to see the leveraging of a greater push towards accessibility and emphasising more prominently, what has been and can be done, moving forward into the future.

This paper provides original insights into the current and future scope of accessible tourism in New Zealand from the perspectives of its stakeholders. The key themes derived from the research assist knowledge for aligning the industry on a pathway towards achieving the necessary awareness and collaboration required in order to offer accessible tourism experiences to all.

This paper aims to illustrate the scope and challenges of using computer-aided content analysis in international marketing with the aim to capture consumer sentiments about COVID-19 from multi-lingual tweets.

The study is based on some 35 million original COVID-19-related tweets. The study methodology illustrates the use of supervised machine learning and artificial neural network techniques to conduct extensive information extraction.

The authors identified more than two million tweets from six countries and categorized them into PESTEL (i.e. Political, Economic, Social, Technological, Environmental and Legal) dimensions. The extracted consumer sentiments and associated emotions show substantial differences across countries. Our analyses highlight opportunities and challenges inherent in using multi-lingual online sentiment analysis in international marketing. Based on these insights, several future research directions are proposed.

First, the authors contribute to methodology development in international marketing by providing a “use-case” for computer-aided text mining in a multi-lingual context. Second, the authors add to the knowledge on differences in COVID-19-related consumer sentiments in different countries. Third, the authors provide avenues for future research on the analysis of unstructured multi-media posts.

Cultural intermediaries define the standards many consumers use when evaluating cultural products. Yet, little research has focused on whether cultural intermediaries may systematically differ from each other with regard to the standards they emphasize. The purpose of this paper is to build on Bourdieu’s theory of cultural production to examine how the type of subfield reviewed and/or the cultural intermediary’s expertise (or “field-specific cultural capital”) affect the standards an intermediary uses.

This paper employed a computer-aided content analysis of the full corpus of “Rolling Stone” music album reviews (1967-2014).

Critics with lower field-specific cultural capital reflect the same logic as the subfield they are critiquing. Critics with higher field-specific cultural capital reflect the opposite logic.

Bourdieu was ambivalent about whether cultural intermediaries will reflect the logic of a subfield. Results show that the answer depends on the intermediary’s field-specific cultural capital. The results also reinforce previous findings that individuals with high field-specific cultural capital are more likely to break with the logic of a field.

Not all intermediaries are created equal. Producers and consumers who rely on cultural intermediaries should understand the intermediary’s critical analysis within the context of his/her experience.

This is one of the first studies to examine how a cultural intermediary’s field-specific cultural capital impacts his or her work. The findings are based on a large review sample and include reviewers’ analyses as they developed from having lower to higher field-specific cultural capital.

Most of the studies in entrepreneurship depend on single-source rating methods to collect data on both predictors and criteria. The threat to effect sizes as a result of using single-source ratings is particularly relevant to psychology-based entrepreneurship research. Therefore, the purpose of this paper is to explore the prospects of applying 360-degree feedback to the field of entrepreneurship and to discuss a set of cases regarding how 360-degree feedback may boost effect sizes in entrepreneurship research.

A qualitative review of current literature was performed.

The review indicated that the effect sizes in psychology-based entrepreneurship research are mostly small and the use of single-source ratings is prevalent; some preliminary findings supported the utility of 360-degree feedback in entrepreneurship research; entrepreneurial orientation (EO) research may benefit from 360-degree feedback; and members of top management teams, employees from research and product development, sales agents, retail buying agents, store sales clerks, and consumers are all valid informants to provide ratings of EO.

The present study provided theoretical explanations and used empirical evidence to elucidate how 360-degree feedback may benefit the field of entrepreneurship. In addition, recommendations for future research using 360-degree feedback in entrepreneurship research were offered and discussed. A sample research study on EO using 360-degree feedback was delineated.

The purpose of this paper is to examine mothers’ social media accounts that focus on children’s fashion. The authors probed children’s fashion photo practices as representations of the mothers’ extended self and the kind of childhood representations produced by the social media accounts. They also investigated mothers’ perceptions of children’s privacy when engaging in sharenting – the sharing of information about children or parenting online.

The study is based on 16 semi-structured interviews with Finnish mothers who had Instagram accounts focusing on children’s fashion.

Children’s fashion photos play a diverse role in mothers’ identity work. The photos can be used to express a mother’s taste and aesthetic skills, to express values, to fit into peer groups and to store memories of oneself and the children. Through the photos, representations of the prevailing Finnish childhood ideals, such as authenticity, naturalness and playfulness, are reproduced. The mothers perceived the children as part of their extended self and justified sharenting with mother- and child-centered arguments.

Through shedding light on the practices of social media fashion photography, this paper provides insights into how commercialism and social media shape cultural expectations for both motherhood and childhood. The paper contributes to previous research on sharenting, extending it to the context of fashion photography.