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The purpose of this paper is to characterize the situation in the Spanish banking industry through the identification of strategic groups based on a set of variables.

To do so, the authors use a 13-year data set and a time inhomogeneous hidden Markov model (HMM) in which the time variable transition matrix captures institutions’ group switching behavior to identify these strategic groups. In fact, the authors consider a mixture model is the data generation process.

Two groups are identified. These groups are primarily characterized by size and other strategic variables. The probability of remaining in a group is generally high: 87.28 per cent for SG1 and 61.84 per cent for SG2. The probability of switching groups is low: 12.72 per cent probability of switching from SG1 to SG2 and 38.16 per cent probability of switching from SG2 to SG1. Banks in SG1 seem more stable over time; they have low levels of switching behavior and well-defined long-term behavior. Banks in SG2 seem to evolve in terms of group membership.

Using an inhomogeneous HMM with time-variable transition matrix, this paper allows for time-varying parameters in the distributions to analyze the evolution of strategic group membership in this industry to detect changes in group strategy, changes in membership and the stability of groups over time.

One of the main difficulties for wine managers is understanding and interpreting how some strategies and company behaviours could affect firms’ performance. This study aims to contribute to improve these concerns by examining the evolution of the competitive wine industry structure over time using the strategic group membership dynamics approach.

This study empirically analyses a data set spanning the period 2004–2014 to identify the strategic groups in the Spanish wine industry and to model their evolution over time. A time inhomogeneous hidden Markov model (HMM) is used for this purpose.

Three strategic groups are identified: Young Makers, Quality Lovers and Major Players. Young Makers are small wineries that produce low-quality wines. They are not part of a collective brand – Protected Designation of Origin – and do not invest in marketing campaigns. Quality Lovers produce the highest quality wines but offer a narrow assortment. They invest modestly in advertising, and most of them belong to a Protected Designation of Origin. Major Players produce medium-quality wines, offer a wide assortment and invest heavily in advertising. The groups seem stable over time.

The results show that strategic group analysis can be used to identify and compare patterns of strategic activity within the wine industry, providing a better understanding of the competitive environment.

No previous studies have analysed the competitive structure of the Spanish wine industry. This study delineates the structure of this industry using strategic groups, which is supported by a valid econometric model. Therefore, from a theory base perspective, this study adds new evidence to the stream of research on strategic groups by investigating their evolution over time in the wine industry and the effect of strategic group membership on performance.

This exploratory study aims to identify and prioritize key sustainable innovation challenges faced by family-owned businesses in the wine ecosystem. It also explores whether the criticality of these challenges differed pre- and post-COVID-19 by comparing the prioritization of these challenges at these two times.

Three methodologies were used. First, a systematic literature review identified the key sustainable innovation challenges in the wine ecosystem, which were then summarized into macro-categories (macro-challenges). Second, a panel of experts validated these challenges. Finally, the best-worst method was used using 40 qualitative interviews to prioritize the most critical challenges in two alternative scenarios to explore potential changes in challenge criticality following COVID-19.

This study provides evidence that the primary challenge to sustainable innovation (i.e. constraints on businesses because of limited financial resources) was the same pre- and post-COVID-19. In contrast, although the challenge associated with knowledge sharing was identified as a key strategy of wine ecosystem actors, particularly in recent years, it was the least critical factor at both times.

This exploratory study extends the conceptual boundaries of sustainable innovation by introducing it to the wine ecosystem. It establishes a practical agenda for small and medium-sized enterprises to enable managers who are constrained by limited resources to prioritize challenges. This agenda outlines a path to identifying competitive strategies. This path can also be followed by a range of stakeholders within this ecosystem to achieve resilience and define medium-to-long-term strategies. Furthermore, policymakers and governments can follow this path to formulate more targeted investment management plans and policies, thereby supporting sustainable economic growth in this key sector for many countries.

This article examines the impact of banks’ corporate social responsibility communication through social media (CSR-S), electronic word of mouth (eWOM), and brand reputation on consumer behavior during the COVID-19 crisis, with a focus on purchase intention.

The study employed a quantitative approach to analyze data from a survey of 621 Egyptian bank customers who followed the banks’ social media pages and interacted with CSR-S initiatives. A genetic algorithm selected the most relevant variables affecting purchase intention. A Bayesian regression model was used to analyze the impact of CSR-S communication, eWOM, and brand reputation on purchase intention.

CSR-S initiatives, eWOM, and brand reputation were found to influence customer purchase intention. CSR-S initiatives can boost purchase intention by encouraging brand reputation and initiative sharing with friends and other customers. However, CSR-S negatively moderates the positive impact of eWOM and brand reputation on the predisposition to contract products and services with the bank.

This study addresses critical research gaps in CSR literature. Firstly, it examines the impact of CSR-S actions on customer behavior, a perspective less explored in previous research. Secondly, it investigates the intricate relationships between CSR-S, eWOM, brand reputation, and purchase intention, shedding light on their interplay, particularly during the COVID-19 pandemic. Additionally, this research extends CSR-S investigations to the competitive banking industry and focuses on a developing country context, enhancing the applicability of findings for Egyptian banks. Lastly, the study employs advanced methodologies to improve the accuracy of results.

本文擬探討於2019冠狀病毒病危機期間、銀行透過社交媒體而進行關於企業社會責任的溝通 (以下簡稱社媒企社責溝通) 、電子口碑和品牌聲譽,如何影響消費行為; 研究會聚焦於客戶的購買意向上。

研究以定量方法、去分析來自涵蓋621名埃及銀行客戶的調查的數據; 這些客戶均有追隨銀行的社交媒體頁面,並曾與銀行就企業社會責任提出的倡議進行互動交流。研究人員以基因演算法挑選了與購買意向相關性最密切的變量,並以貝葉斯回歸模型,去分析探討社媒企社責溝通、電子口碑和品牌聲譽、如何影響客戶的購買意向。

研究結果顯示,透過社交媒體傳達的企業社會責任倡議、電子口碑和品牌聲譽,均會影響客戶的購買意向。這類倡議會透過促進品牌聲譽和朋友或客戶間的互相共享而令購買意向提昇。唯社媒企社責溝通會減弱電子口碑和品牌聲譽給客戶購買意向帶來的正面影響,使他們與銀行訂立商品或服務契約的意欲降低。

本研究致力回應企業社會責任文獻內重要的研究空白。首先,研究人員探討社媒企社責溝通對客戶行為帶來的影響,這研究角度從來沒有被充分利用。其次,本研究探討社媒企社責溝通、電子口碑、品牌聲譽和購買意向之間錯綜複雜的關係,這幫助闡明各元素的相互作用,尤以2019冠狀病毒病肆虐期間為甚。再者,本研究把關於社媒企社責溝通的研究擴展至競爭性銀行業,並聚焦於涉及一個發展中國家的背景,這都使研究結果更能應用於分析埃及銀行上。最後,研究人員為了提高研究結果的準確性,採用了先進的方法進行研究。

In recent decades, higher education institutions (HEIs) have increasingly adopted marketing-oriented approaches. While the adoption of marketing was slower in Europe and Spain, it has become a vital tool for HEIs, both to stay competitive in a changing socio-economic context and to face the challenges posed by the transition to the University 2.0 model. This study aims to analyse the historical evolution of communication techniques used by universities, bringing into focus the relevance of social networks in the most recent decades.

This research methodology consists of two components. Firstly, a comprehensive analysis of the available data is conducted to investigate the earliest marketing and communication actions involving universities, as well as their evolution over time, contextualizing this within the significant shifts in the social, political and technological background. Secondly, a specific focus is placed on the contribution of social media, particularly Twitter, as a powerful tool in creating a university brand and effectively promoting educational institutions, especially during the last stage of this historical evolution. To identify and analyse these trends, Natural Language Processing is used, specifically by leveraging topic modelling techniques.

The results of this analysis offer insights into the evolution of marketing communication applied by Spanish universities and show the increasing importance of social networks and the use of specific topics and contents to enhance their impact on engagement.

This study contributes to the literature by using a novel methodological approach to the research on the historical development of communication in universities in Spain, providing guidance to manage their social media strategy to differentiate themselves, increase engagement and foster brand loyalty.

The main objective of this paper is to propose a model that allows the detection of the competitive pattern of the Spanish loans market between 1992 and 1996.

In order to achieve this objective, the paper estimates, following the New Empirical Industrial Organization paradigm, a conjectural variation model for the strategic marketing dimension of price. The model proposed allows the measurement of strategic group‐level rivalry while simultaneously considering demand, costs, and profit specifications for each bank.

The findings evidence a high degree of competition between the firms within the same strategic group. Further, the demand for loans of a firm has a positive (negative) relationship with the rivals' price (own price), with the own branch network (rivals' branch network), and with the economic activity in the regions where firm operates.

The major limitation of this research could become from the necessity to operate with detailed information that the authors try to overcome using proxies of several non‐available variables.

The model proposed herein represents a contribution to previous works and also provides more information about banking competition in the sense that it estimates price competition between firms within three strategic groups.

The purpose of this study is to attempt to explain why the impact of Corporate Social Responsibility (CSR) initiatives may be different and/or more important in service firms compared to manufacturing firms. CSR is becoming a common strategy, hence its extensive research. Central to it is the analysis of the effect of CSR on a firm’s performance, whose outcome depends on firm-specific and industry-related factors.

The event study methodology is applied to all the 248 companies that have ever traded on the Spanish Stock Market between 1990 and 2007. A regression analysis examines potential different effects of CSR on service and goods firms.

The results show that CSR activities have a positive impact on firm performance that is higher for service firms than for manufacturing firms. Actions related to the environment, responsible labor relationships and good corporate governance are especially important in the service context.

This research is focused on shareholders’ performance, but it does not consider other stakeholders, such as real consumer behavior or employees’ commitment and productivity.

Service firms are likely to gain from focusing on some CSR activities (environment, employees and good corporate governance) and should use their responsible behavior as a valuable tool for public relations and differentiation in the market.

This article is the first attempt to empirically test and explain why the relationship between CSR and firm performance may be different (more positive) for service vs manufacturing firms.

The aim of this study is to examine the determining factors of a firm’s performance, as a direct consequence of its diversification strategy in its expansion into foreign markets, considering certain factors like the market, the product and the company itself. As a novelty, the methodology employed uses the event‐study to estimate the excess of returns generated by its shares on the Stock Market, based on a sample of 35 expansion announcements into external markets corresponding to 11 diversifying companies. A regression analysis is also carried out to examine the impact of these factors, market, product and company, on the excesses in returns observed. The empirical application, carried‐out in Spain, has allowed us to detect that, on average, the impact of the news about a company’s expansion on the returns on its shares is positive; its determining factors being the speciality of the product offered and the level of development in the target country.