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The purpose of this study is to develop and empirically test a lovemark measure that can be used to identify how brands of wireless-enabled computing devices are classified based on customers’ respect and love toward them.

On evidence drawn from 1,016 consumers of wireless-enabled computing devices (e.g. netbooks and tablets) in Greece, partial least squares method is used to test the validity of the proposed hierarchical model.

Results show that a lovemark measure can be conceptualized as a third-order reflective construct having respect and love as its second-order dimensions. In turn, respect reflects on brand performance, trust and reputation, and love reflects on brand commitment, intimacy and passion. The proposed measure presents a very good external validity as it can explain big portions of variance in consumer responses including repurchase intentions, positive WOM and willingness to pay a price premium. Finally, the proposed measure is used to classify eight well-known devices as products, fads, brands and lovemarks and identify the love styles associated with brand relationships.

This paper provides empirical evidence for measuring and identifying lovemarks using a hierarchical model, which can be further used to develop a more effective strategy for managing the functional and emotional aspects of brands to strengthen consumer-brand relationships.

El objetivo de este estudio es el desarrollo metodológico y validación empírica de una escala para clasificar las marcas de productos tecnológicos en base a las dos dimensiones que caracterizan a las marcas Lovemark: el respecto y amor.

Con una base de datos recogidos de una muestra de 1.106 consumidores de productos tecnológicos (e.g., tablets y portátiles pequeños) en Grecia, se usa PLS para testar la validez del modelo jerárquico propuesto.

Los resultados ponen de manifiesto que el concepto Lovemark puede ser conceptualizado como un constructo reflectivo de tres dimensiones siendo el respeto y el amor hacia la marca las dimensiones de segundo orden. A su vez, el respeto hacia la marca refleja el desempeño, la confianza y reputación de la marca mientras que el amor queda reflejado en conceptos tales como el compromiso, la intimidad y la pasión. La medida propuesta presenta una aceptable validez externa pues es capaz de explicar mayor porcentaje de la varianza de las intenciones de compra, la comunicación boca-oreja positiva y la disposición a pagar un mayor precio por la marca. Finalmente, se demuestra la utilidad de la medida propuesta para clasificar ocho marcas conocidas según los niveles de amor y respeto que los consumidores manifiestan hacia las mismas así como identificar los estilos de amor asociados a la relación que los consumidores mantienen con estas marcas.

Este trabajo ofrece evidencias empíricas para medir e identificar las Lovemark usando un modelo jeráquico que puede ser utilizado posteriormente para desarrollar una estrategia más efectiva en la gestión de los aspectos funcionales y emocionales de las marcas como medio para fortalecer las relaciones marca-consumidor.

The purpose of this paper is to study the effects of sports sponsorship on brand equity using two managerially related outcomes: price premium and market share.

This study uses a best–worst discrete choice experiment (BWDCE) and compares the outcome with that of the purchase intention scale, an established probabilistic measure of purchase intention. The total sample consists of 409 fans of three soccer teams sponsored by three different competing brands: Nike, Adidas and Puma.

With sports sponsorship, fans were willing to pay more for the sponsor’s product, with the sponsoring brand obtaining the highest market share. Prominent brands generally performed better than less prominent brands. The best–worst scaling method was also 35% more accurate in predicting brand choice than a purchase intention scale.

Future research could use the same method to study other types of sponsors, such as title sponsors or other product categories.

Sponsorship managers can use this methodology to assess the return on investment in sponsorship engagement.

Prior sponsorship studies on brand equity tend to ignore market share or fans’ willingness to pay a price premium for a sponsor’s goods and services. However, these two measures are crucial in assessing the effectiveness of sponsorship. This study demonstrates how to conduct such an assessment using the BWDCE method. It provides a clearer picture of sponsorship in terms of its economic value, which is more managerially useful.

The purpose of this paper is to investigate the key drivers of coopetition by adopting a managerial and economic framework. A case of coopetition failure is investigated by means of a historical example focused on the Egyptian adventure of the Italian banks in the first decades of the XX century.

The authors adopt a qualitative case study and a flexible pattern matching approach to develop theoretical ideas. Because the flexible pattern matching approach was adopted, the authors build the analysis on a tentative analytical framework specified a priori to provide guidance and focus. This approach allows a theory-driven research paradigm. The historical case study is mainly grounded on original sources drawn from some major banking and institutional archives.

While several scholars emphasised the relevance of external drivers, the literature has paid less attention to how relational and internal drivers combine. The historical case suggests that key mechanisms supporting the success of coopetition concern planning of common goals, conflicts management, alignment and formalisation of governance. In this vein, internal and relational dimensions seem to be more relevant than environment-context dimension. In addition, the historical example shows that an intra- and inter-firm alignment is required to pursue the implementation of a coopetitive strategy. This suggests the relevance of a holistic approach to investigate coopetition. Further evidence confirms the role of governance mechanisms for the success of coopetition.

The main contribution of this study is the re-consideration of the drivers of coopetition. In particular, the role of coopetition drivers has been investigated using a historical event: the Italian multinational banking in Egypt in the interwar years.

The retail landscape is dramatically changing due to a series of socio-economic and technological challenges, which can be faced through the adoption of smart technologies. Accordingly, a significant number of publications in this field have been produced, albeit with fragmented results. Therefore, this paper aims at both providing a clear and organised overview of the main smart technologies for physical retailing, in terms of application fields and expected impact, while identifying the major shortcomings and future research avenues.

The research conducts a systematic review of the literature concerning the assimilation of smart technologies within physical retail environments, resulting in the analysis of 103 papers published from 2005 to 2023. The review highlights (1) the main smart technologies employed in retail stores, (2) their application area and (3) the beneficiaries of their adoption. Accordingly, these three aspects are initially assessed independently and then examined in combination.

The analysis presents a comprehensive list of 16 key technologies (what) that can support a wide range of processes, spanning from back-end functions to front-end activities, also enabling the connection with online channels (where), catering several and different benefits (why) to both customers and retailers (who). Besides, the research points out many uncovered topics that could be addressed by the academic community.

To the best of the authors’ knowledge, the review is the first one in the literature offering a thorough and organised overview of the different available technologies for in-store application and their impact on physical retail processes.

Despite South Africa’s ailing electrical grid, substantial renewable energy (RE) integration is planned for the country. As grid-integrated RE affects all grids differently, this study aims to develop an adaptable grid code-guided renewable power plant (RPP) control real-time simulation testbed, tailored to South African grid code requirements to study grid-integrated RE’s behaviour concerning South Africa’s unique conditions.

The testbed is designed using MATLAB’s Simulink and live script environments, to create an adaptable model where grid, RPP and RPP guiding grid codes are tailorable. This model is integrated with OPAL-RT’s RT-LAB and brought to real-time simulation using OPAL-RT’s OP4510 simulator. Voltage, frequency and short-circuit event case studies are performed through which the testbed’s abilities and performance are assessed.

Case study results show the following. The testbed accurately represents grid code voltage and frequency requirements. RPP point of connection (POC) conditions are consistently recognized and tracked, according to which the testbed then operates simulated RPPs, validating its design. Short-circuit event simulations show the simulated wind farm supports POC conditions relative to short-circuit intensity by curtailing active power in favour of reactive power, in line with local grid code requirements.

To the best of the authors’ knowledge, this is the first design of an adaptable grid code-guided RPP control testbed, tailored to South African grid code requirements in line with which RPP behavioural and grid integration studies can be performed.

Multinational business deliver value via multiple sites with similar operational capacities. The age of the Fourth Industrial Revolution (4IR) delivers significant opportunities for the deployment of digital tools for business optimization. Therefore, this study aims to study the Industry 4.0 implementation for multinationals.

The key objective of this research is multi-site systems integration using a reproducible, modular and standardized “Cyber Physical System (CPS) as-a-Service”.

A best practice reference architecture is adopted to guide the design and delivery of a pioneering CPS multi-site deployment. The CPS deployed is a cloud-based platform adopted to enable all manufacturing areas within a multinational energy and petrochemical company. A methodology is developed to quantify the system environmental and sustainability benefits focusing on reduced carbon dioxide (CO₂) emissions and energy consumption. These results demonstrate the benefits of standardization, replication and digital enablement for multinational businesses.

The research illustrates the ability to design a single system, reproducible for multiple sites. This research also illustrates the beneficial impact of system reuse due to reduced environmental impact from lower CO₂ emissions and energy consumption. The paper assists organizations in deploying complex systems while addressing multinational systems implementation constraints and standardization.

Despite the wide availability of internet banking, levels of intention to use such facilities remain variable between countries. The purpose of this paper is to focus on e-banking in a country with low intention to use e-banking – Jordan – and to explain the slow uptake.

A quantitative method employing a cross-sectional survey was used as an appropriate way of meeting the research objectives. The survey was distributed to bank customers in Amman, Jordan, collecting a total of 328 completed questionnaires. SPSS and AMOS software were used, and multiple regression and artificial neural networks were applied to determine the relative impact and importance of e-banking predictors.

The statistical techniques revealed that several major factors, including perceived ease of use, perceived usefulness, security and reasonable price, stand out as the barriers to intention to use e-banking services in Jordan.

This study theorizes a series of implications on intention to use e-banking. It draws the attention of Jordanian banks to the full functionality of their e-banking systems, emphasizing positive safety features, which could contribute to changing negative customer perceptions. It also contributes to eliciting the theory of customer value among banks by focusing on how they should properly enhance their use of shared value. Moreover, it will present to managers how e-banking predictors can send meaningful and timely information to customers.

The aim of the study was to determine the region brand’s strength by measuring the awareness of the regional brand elements, associations and the perception of the region’s promotional activity in the corporate customers’ group.

To obtain the necessary data, this study conducted computer-assisted web interviewing on a sample of 151 small and medium-sized enterprises (SMEs) registered in the Mazowieckie Voivodeship and engaged in furniture production and food and beverage production. Statistical data analysis included Pearson and Spearman’s rank correlation and chi-square tests.

The survey showed a high number of brand associations with the region of Mazovia, but the level of brand recognition was low. The awareness of the region’s logo among SMEs shows the strongest correlation with the belief that promotional activities increased the scope of company operations. Moreover, this evidences the perceived utility of the brand among those customers.

The regional authorities should invest more in the frequency of promoting the region among certain strongly engaged user groups to increase their brand awareness level. Furthermore, local authorities should try establishing an umbrella brand that would cover several sub-brands promoting separate industries in the region.

To the best of the authors’ knowledge, this is the first study in Poland that focused on regional branding effects among entrepreneurs and using a quantitative method. The relationship between the studied entrepreneurs’ willingness to use the Mazovia brand and their range of operations indicates that some enterprises already enjoy greater trust thanks to the brand, which increases their loyalty toward the region.

This study investigates the characteristics of business and management consulting firms (firm size, international affiliation and scope of operation) affecting the adoption rate (i.e. recency of adopting big data analytics (BDA) as a new idea) and usage level of BDA. Ten critical areas of BDA application to business and management consulting were investigated, (1) Human Resource Management; (2) Risk Management; (3) Financial Advisory Services; (4) Innovation and Strategy; (5) Brand Building and Product Positioning; (6) Market Research/Diagnostic Studies; (7) Scenario-Based Planning/Business Simulation; (8) Information Technology; (9) Internal Control/Internal Audit; and (10) Taxation and Tax Management.

Survey data was obtained through a structured questionnaire from one hundred and eighteen (118) consultants in Nigeria from diverse consulting firm settings in terms of size, international affiliation and scope of operation (Big 4/non-Big 4 firms). Data was analyzed using descriptive statistics, cluster analysis, multivariate analysis of variance (MANOVA), multivariate discriminant analysis and multivariable logistic regression.

Whereas organizational characteristics such as firm size, international affiliation and scope of operation significantly determine the adoption rate of BDA, two attributes (international affiliation and scope of operation) significantly explain BDA usage level. Internationally affiliated consulting firms are more likely to record higher usage level of BDA than local firms. Also, the usage level of BDA by the Big 4 accounting/consulting firms is expected to be higher in comparison to non-Big 4 firms.

Contrary to common knowledge that firm size is positively associated with the adoption of an innovation, the study found no evidence to support this claim in respect of the diffusion of BDA. Overall, it appears that the scope of operation is the strongest organizational factor affecting the diffusion of BDA among consulting firms.

The study contributes to knowledge by exposing the factors promoting the uptake of BDA in a developing country. The originality of the current study stems from the consideration that it is the first, to the researchers' knowledge, to investigate the application of BDA by consulting firms in the Nigerian context. The study adds to literature on management accounting in the digital economy.

The purpose of this study is to explore the customer shopping experience in the innovative technology setting. Specifically, the purpose is to understand how do innovative technologies influence the customer shopping experience?

This qualitative, explorative study has characteristics of a phenomenological research strategy. The data were collected from four focus groups and ten in-depth interviews with consumers. Abductive approach with an implementation of content analysis was used as a method of analysis.

The results show that there are three critical factors in customer's shopping experience in the context of innovative technologies; (1) channel choice, (2) value dimensions related to convenience and enjoyment, and (3) social interaction. All factors are highly intertwined and influence each other.

This study contributes to customer experience literature by offering a framework for understanding customer shopping experiences in the innovative technology setting. These findings have important implications for retail managers seeking to enhance customer experience and achieve a competitive advantage by utilizing innovative technology.