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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.

In this chapter, the author dwells on the effects of documenting and the failure to document, border lives and deaths. Despite their apparent differences, both practices function as forms of erasure. While the Australian government has historically been keen to document the number of asylum seeker arrivals in this country, it has shown no interest in the numbers and names of those who have died in attempting to arrive here. In contrast, those who manage to cross the border, are subject to intense classificatory and numbering regimes. The latter manifests in bureaucratic control and excessive intervention, while the former reveals governmental denial of complicity in these deaths by not acknowledging them. Both practices share a refusal to encounter the other on ethical terms, reflecting the politics of numbers (Andreas & Greenhill, 2010) at and within the border. This also reveals a paradox, between being represented and not being represented. In the lacuna of details about border deaths, human rights organisations, researchers and advocacy groups have sought both to honour these deaths and to ensure that the scale of border violence is marked by statistical records on the numbers of border deaths. While it might seem that being ‘counted’ – or in Butler’s (2003, p. 41) terms – ‘represented’ is better than not being counted/represented at all, representation is never straightforward (Szörényi, 2009b, p. 185): being counted is often barely a form of representation, with such ‘numbering’ practices contributing to the effacement, rather than the recognition of refugees’ humanity.

Stemming from the resource-based view (RBV) approach, this article overcomes the limits of the conventional strengths, weaknesses, opportunities and threats (SWOT) analysis, setting the basis for the model actual–potential, positive–negative, internal–external (APPNIE). This paper enacts a new framework demonstrating how strengths, weaknesses, opportunities and threats of SWOT can be replaced by actual or potential, positive or negative elements, considered in a dynamic way.

The traditional SWOT analysis provides only a partial view of the environment and adopts incorrect terminology that can confuse the user, preventing a clear understanding of the factors affecting the organisation’s situation. The authors developed a new tool to help managers in their decision-making processes.

This study proposes a new tool for assessing the quality of management, resources and environment, which is useful in understanding the economic and social scenario in which a firm is embedded. From a practical point of view, the new tool is applied in the case study, and it shows how managers and students can use it while choosing between alternative options (different strategies, markets, technologies, etc.).

The APPNIE model introduces a new dimension that the SWOT analysis does not consider. Moreover, for each element of the new matrix, the authors propose a plan of action, which is another valuable benefit of the APPNIE model.

At the end of the case study exercise, students will be able to evaluate a company’s competitive standing and formulate business growth strategies based on internal and external environment analysis, develop business strategies for a company to strategise product offerings and recommend promotional strategies for a company to best market new product offerings.

This case study is about the Central Production Unit (CPU), a wholly owned subsidiary of Sirah Heritage Holdings Sdn. Bhd. (owner of the popular restaurant brand “Tuuu […] Dia Pak Tam”), which was initially set up to standardise production for the whole company. However, ever since the subsidiary was set up, the management realised a few pertinent issues that needed their attention. Firstly, the CPU was underutilised even with the large number of Tuuu […] Dia Pak Tam restaurants across Peninsular Malaysia. Furthermore, the CPU was also tasked to introduce new products and services that could attract consumers and increase the visibility of their restaurants, but the company had no idea how to promote its new products. This study aims to look at the issues faced by the CPU by applying analytical tools such as SWOT analysis, Ansoff matrix and promotion mix.

This case study is designed for undergraduate and postgraduate students who are taking courses such as strategic management, marketing management and business development. This case study can also be used by training departments, corporate trainers and other relevant managers to improve growth strategies using business theories.

Teaching notes are available for educators only.

CSS 8: Marketing

This paper aims to explore the concept of “actor engagement” within the context of the sharing economy, a novel and dynamic business model. Specifically, it investigates the formation of actor engagement and its relationship with value creation within this business model.

Drawing on Storbacka et al. (2016)actor engagement framework and service-dominant logic service ecosystem model, unstructured data (text and images) from the Airbnb platform in seven countries and text- and image-mining techniques such as machine learning are used to measure the research variables and test the model by PLS-SEM.

The results indicate that affective engagement has a more significant impact on behavioural engagement than cognitive engagement for multidimensional actor engagement. Service providers’ engagement – directly, and through customer engagement – influences value creation for service providers (i.e. performance). Moreover, national-level moderator (i.e. economic, competitiveness, technology, social and political factors) plays a significant moderating role in our model.

This study encourages future research to explore how actor engagement leads to value creation for all actors on the different sharing economy platforms.

The findings provide practical insights for service providers to engage their customers and platform managers, especially in an international context, on managing their relationships with both customers and service providers in different countries.

This study advances the current literature on actor engagement and its role in value creation by providing a better understanding of the role of the national context in this process through unstructured data analysis.

After reading and analyzing the case study, the students will be able to recognize the role of the mega environment in shaping business strategy, explore the challenges and opportunities in a mature industry (Foam), understand the business context of a family-owned firm and assess the implications and recommend managerial strategies.

In July 2019, Unifoam, a leading foam manufacturer, found itself at a crossroads as the company leadership grappled with diverging vision and future course of action. The newly appointed chief executive, Mr Faraz Khalid Shaikh, had overseen significant investments in expanding production capacity, and the time had come to reap the rewards. However, a series of unexpected events had unfolded, presenting the company with a unique set of challenges. Unifoam relied heavily on imported raw materials from China. Unifoam had high hopes of capitalizing on the opportunities presented by the China Pakistan Economic Corridor. However, the newly formed government had made significant policy changes regarding currency valuation and borrowing rates. This had increased the company’s working capital cost by 40%. This unexpected development had divided the board on the future direction and had forced the leadership to confront a crucial question: Should they hit the brakes or accelerate their growth strategies? This case study explored into the dynamic interplay between external factors, internal divisions and the family-owned nature of Unifoam. The analysis recognized the influence of the mega environment on the company’s strategy, exploring the challenges and opportunities within the mature foam industry and assessing the implications of conflicting approaches. This case study also offered valuable insights and managerial recommendations to guide the company’s path forward. Through embracing discomfort and confronting strategic dilemmas head-on, Unifoam sought to navigate uncharted waters and emerge as a resilient player in the evolving foam industry.

This is suitable for BBA or at the very start of MBA in the strategy courses, mainly business strategy and strategic management, and the case study can be positioned during the initial weeks in the course to provide a quick review of the basic analysis frameworks used in strategic decision-making.

Teaching notes are available for educators only.

CSS 11: Strategy.

The purpose of the study is to propose a normative approach for market segmentation, profile and monitoring using computing and information technology to analyze User-Generated Content (UGC).

The specific steps include performing a structural analysis of the UGC and extracting the base variables and values from it, generating a consumer characteristics matrix for segmenting process, and finally describing the segments' preferences, regional and dynamic characteristics. The authors verify the feasibility of the method with publicly available data. The external validity of the method is also tested through questionnaires and product regional sales data.

The authors apply the proposed methodology to analyze 53,526 UGCs in the New Energy Vehicle (NEV) market and classify consumers into four segments: Brand-Value Suitors (32%), Rational Consumers (21%), High-Quality Fanciers (26%) and Utility-driven Consumers (21%). The authors describe four segments' preferences, dynamic changes over the past six years and regional characteristics among China's top five sales cities. Then, the authors verify the external validity of the methodology through a questionnaire survey and actual NEV sales in China.

The proposed method enables companies to utilize computing and information technology to understand the market structure and grasp the dynamic trends of market segments, which assists them in developing R&D and marketing plans.

This study contributes to the research on UGC-based universal market segmentation methods. In addition, the proposed UGC structural analysis algorithm implements a more fine-grained data analysis.

Social media have escalated the frequency and intensity of brands’ online controversial events (OCEs), which differs conceptually from negative events. Despite this, there remains a scarcity of research exploring the nature of OCEs. This paper aims to investigate the impact of positive buzz on consumer engagement during OCEs.

Using 47,468 posts from two popular Chinese social media (i.e. Weibo and Zhihu), we employ a zero-inflated negative binomial regression and content analysis to test our hypotheses.

The results indicate that positive buzz informativeness and sentiment positively affect consumer engagement in online brand communities, moderated by community type and time-related factors. Expert communities (vs social communities) weaken main effects, while date distance strengthens them.

This study is the first to propose the nature of brand’s OCEs and explores how positive buzz affects consumer engagement, highlighting the moderating roles of community type and date distance. This paper contributes to literature on user-generated content (UGC), OCEs and dual process theory, offering valuable insights for brands, consumers and community owners.