Search results

This study aims to map and assess the conceptual development of the innovation ecosystem literature.

A bibliometric analysis was performed using the VOSviewer, RStudio software, Bibliometrix and Biblioshiny packages. To accomplish this, 367 publications published between 2006 and 2020 and indexed in the Web of Science and Scopus databases were assessed.

The results demonstrate a rise in research during 2016, with almost 30% of publications concentrated in only six journals. The co-citation analysis presented four clusters: case studies, business and innovation ecosystems (platform approach), open innovation and national and regional innovation systems (territorial approach). We proposed a theoretical framework based on two approaches in the innovation ecosystem literature based on co-citation analysis: platform, which has its roots in the literature on strategy, and territory, grounded in research on economic geography literature.

One of the limitations of the study is that only articles published in journals were analyzed, leaving out of the sample those published in congresses, books and other sources.

This paper contributes to the literature by presenting and clarifying the different conceptual trajectories of research in innovation ecosystems. We also proposed an analytical framework based on the two main approaches to innovation ecosystems – platform and territory. This framework presents the critical elements of managing innovation ecosystems from both perspectives.

Fairy tale narratives have placed significant emphasis on depicting female and male protagonists through a binary understanding of gender roles. Major male characters are portrayed with traits associated with hegemonic masculinity, reinforcing concepts that uplift masculine superiority, such as independence, exercise of power, authority, and strength. Conversely, female protagonists are often represented in ways that emphasise hegemonic femininity, aiming to disempower and marginalise them by highlighting traditional feminine traits like passivity, dependence, and helplessness. Any female characters deviating from these norms and depicted as powerful and dominant are positioned as villains in relation to the main female protagonist, embodying non-hegemonic feminine characteristics.

The representation of women in these ways primarily serves one purpose: to uphold masculine superiority. Hegemonic femininity portrays women as damsels in distress, awaiting rescue. On the other hand, non-hegemonic femininity manifests through villainous women performing antagonistic acts towards conforming female protagonists, thus forcing them into a helpless position. This is the critical juncture where the main male protagonists' step in – rescuing the helpless female protagonists and defeating the female villains – reinforcing masculine values in both scenarios.

However, the 21st century fairy tale narratives have challenged this ideology. I argue that recent fairy tale narratives have adopted the technique of ‘Feminist Quest Heroine’ to challenge and deconstruct male characters' heroism through the re-portrayal of female and male characters. The selected fairy tale narratives include Frozen (2013) and a comparative analysis of Sleeping Beauty (1959) and its cinematic adaptation Maleficent (2014). The findings suggest that these fairy tales rework the representation of male characters in three ways: the application of post-feminist masculinity, the modification of heteronormative temporality, and the prominence of sisterhood upon the critique of patriarchy.

This chapter differentiates stress from generalized anxiety, discussing the nature and prevalence of each among college students. The chapter then delves into generalized anxiety in detail, covering instruments that measure generalized anxiety, cultural considerations associated with generalized anxiety and the causes, consequences, prevention and treatment of generalized anxiety among college students. The next section of the chapter focuses on social anxiety among college students, similarly addressing its defining characteristics, prevalence, cultural considerations, causes, consequences, prevention and treatment. The final section of the chapter follows a similar structure in discussing posttraumatic stress disorder (PTSD) among college students. Throughout the chapter, attention is devoted to neurotransmitters and brain structures that are involved in anxiety and its treatment through antianxiety medications. Case examples are used to help bring theoretical concepts and research findings to life.

This study intends to explore the influence of emotional intelligence on employee self-efficacy in Pakistan's telecom industry. Besides, it explores the mediating effect of emotional labor (surface acting and deep acting) between them. This study also tests the relationship between emotional labor (surface acting and deep acting) and self-efficacy in the customer care of Pakistan's telecom division.

The study leads forward with a positivist approach to obtain data in two different waves as a time lag study from the big five telecom companies operating in Pakistan. The data was collected from 270 employees working in Customer Services in the Telecom sector.

The results reveal that there exists a positive relationship between emotional intelligence and self-efficacy in customer care employees in Pakistan's telecommunication division sector. Moreover, emotional labor (deep acting) partially mediates the relationship between emotional intelligence and self-efficacy, and surface acting could not mediate the relationship among the employees of customer care in Pakistan's telecom division.

Management of emotions at the workplace has been an immensely vital area in managing the performance of employees, especially in customer-centric jobs, where dealing with customers is the prime focus and achieving customer satisfaction is the utmost outcome. There is limited evidence of the relationship between emotional intelligence and self-efficacy specifically in the customer care of the Telecom sector.

Not all apps can be favored on a smartphone. Users are bound to abandon some if they lose value. Analyzing the reasons behind this phenomenon can help develop strategies for avoiding app abandonment, which is the focus of this study.

This study conducted in-depth open interviews with 47 respondents who had abandoned or deleted mobile apps before and used the qualitative research method grounded theory to analyze the interview content, followed by open coding, axial coding and selective coding.

Seven main reasons are summarized after the relationship between every statement and concept is found and constructed, namely functional value, information expectation, emotional value, platform service, user trust, cost, and social influence.

Based on these findings, this study provided suggestions for mobile app developers to help them effectively improve the user experience and retain their customers.

While third-party food delivery continues to increase in popularity, surveys suggest nearly a quarter of deliveries suffer from service failures. With the limited research on third-party food delivery, we explore the important questions of (1) where customers place blame in the case of service failures with third-party food delivery (i.e. the platform or the restaurant) and (2) does this depend on the type of service failure? Drawing on blame attribution theory, signaling theory, and an exploratory study, we demonstrate that customers typically perceive such mishaps to be the responsibility of the restaurant rather than the delivery platform itself. We also examine the effect of visible service failure preventative actions taken by the restaurant on blame attribution and re-order intention.

We conducted two online scenario-based studies to explore customer blame attribution in the case of third-party food delivery service failure. First, an exploratory study approach (N_{Study1 = 512}) was taken to provide additional support for the hypothesis development. An experiment (N_{Study2 = 252}) was then conducted to examine the hypothesized effects.

First, the results of an exploratory study demonstrate that customers attribute service failures such as wrong items, missing items, cold food, or leaking containers to restaurants over third-party food delivery platforms. Second, the results of an experimental study suggest inclusion of an observable cue indicating preventative action, such as time-stamp information indicating when an order was received and packaged for delivery, increases customer re-order intention through the underlying mechanism of blame attribution.

We contribute to the underexplored area of third-party food delivery service failure and to our understanding of blame attribution in service failure scenarios. Further, we demonstrate a practical method to shift the blame away from restaurants for service failures that are outside of the establishment’s control.

This study aims at identifying how the evolution of clusters influences orchestrations. It investigates the dynamic interplay between the developmental stages of clusters and the strategic orchestrations that occur within these structures. In this regard, this work explores cluster life cycle (CLC) approaches and orchestration, analyzing their relationship.

This qualitative, exploratory research was conducted by using a case study method on the Serra Gaúcha Wine Cluster (SGWC), the leading wine region in Brazil. Data sources included 27 interviews with winery managers and managers of organizations supporting viticulture, as well as 29 documents relevant to the cluster’s activities and development. The study used content analysis to examine the collected data, providing an in-depth exploration of the dynamic interplay within the cluster through both direct stakeholder insights and documentary evidence.

The research results revealed that the SGWC is in its fifth stage of development; the five stages are the following: emergence, first growth, first renewal, second renewal and second growth. The findings generated four key propositions: positive maturations of clusters are capable of affecting the number of orchestrations, catalyzing exogenous factors of stage changes influence orchestrations, clusters and the content of orchestrations co-evolve and fluctuations in the number of orchestrations do not linearly follow the changes in the efficiency of clusters. The results also highlight the important role of representative organizations. This study also advanced on the thematic cluster maturation, which, according to this paper, can be positive or negative.

The study advances an approach of cluster maturation, which may be advantageous or detrimental. Additionally, this work investigates the connection between the CLC and orchestrations; in particular, to the best of the authors’ knowledge, this is one of the first to do so with an emphasis on cluster evolution and the quantity and nature of orchestrations.

The findings emphasize the need to maintain associations and support organizations to ensure effective engagement and orchestrations within the cluster, even during crises. It is crucial for managers to understand the CLC to align decisions with the cluster’s development stages. Additionally, identifying exogenous factors that influence changes is essential for planning effective strategic actions.

This study contributes to the understanding of how cluster development stages influence orchestrations in industrial clusters, shedding light on the dynamics of this relationship.

With production systems become more digitized, data-driven maintenance decisions can improve the performance of production systems. While manufacturers are introducing predictive maintenance and maintenance reporting to increase maintenance operation efficiency, operational data may also be used to improve maintenance management. Research on the value of data-driven decision support to foster increased internal integration of maintenance with related functions is less explored. This paper explores the potential for further development of solutions for cross-functional responsibilities that maintenance shares with production and logistics through data-driven approaches.

Fifteen maintenance experts were interviewed in semi-structured interviews. The interview questions were derived based on topics identified through a structured literature analysis of 126 papers.

The main findings show that data-driven decision-making can support maintenance, asset, production and material planning to coordinate and collaborate on cross-functional responsibilities. While solutions for maintenance planning and scheduling have been explored for various operational conditions, collaborative solutions for maintenance, production and logistics offer the potential for further development. Enablers for data-driven collaboration are the internal synchronization and central definition of goals, harmonization of information systems and information visualization for decision-making.

This paper outlines future research directions for data-driven decision-making in maintenance management as well as the practical requirements for implementation.

As a result of both shifting social concerns and stricter legislation, many companies are seeking innovative and sustainable solutions for both primary and secondary packaging. The craft beer industry has made the most notable advancements with a variety of alternatives to the traditional secondary packaging (e.g. plastic rings) used to link beer cans. Yet, despite the impact packaging has on consumer purchase behavior and the environment, secondary packaging has received far less attention in the literature. This study aims to understand consumer perceptions of craft beer secondary packaging on consumers’ willingness to buy via the underlying mechanisms of perceived packaging innovation and sustainability.

A single-factor between-subjects experiment with four conditions (secondary packaging format: Pak-Tech holder, Keel Clip holder, Glue-Pack holder, Biodegradable holder) was conducted with 354 participants to test the hypothesized serial mediation model.

The results demonstrate that none of the secondary packaging styles had a direct effect on willingness to buy, meaning that the package style alone does not influence a consumer’s purchase decisions. Critically, the results also revealed indirect effects; specifically, the Keel Clip and Glue-Pack six-pack can holders were perceived as more innovative than the Pak-Tech holder, which in turn positively influenced perceptions of packaging sustainability and subsequent willingness to buy.

The authors’ results extend the research on sustainable secondary packaging and aids craft breweries along with other beverage producers in making informed decisions as the push for sustainable packaging becomes more prominent.

This study aims to examine adolescents’ social media environment connected to unhealthy food marketing. As social media have become a ubiquitous part of young people’s everyday lives, marketers have also shifted their focus to these channels. Literature on this phenomenon is still scarce and often takes a quite narrow view of the role of marketing in social media. Furthermore, the experiences of the adolescents are seldom considered.

Using a sociocultural approach and netnographic methodology, this study presents findings from a research project conducted in Finland. The data consist of both social media material and focus group interviews with adolescents.

The findings elaborate on unhealthy food marketing to adolescents in social media from two perspectives: sociocultural representations of unhealthy foods in social media marketing and social media influencers connecting with adolescents.

The study broadens and deepens the current understanding of unhealthy food marketing to adolescents taking place in social media. The study introduces a novel perspective to the topic by looking at it as a sociocultural phenomenon.