Search results

Research demonstrates that servitization can achieve competitive advantages for firms; however, many firms are unable to achieve their target values due to various challenges. This study proposes a new model in which open innovation and co-creation are utilized to access consumer knowledge during the servitization process when developing customized services for international markets.

An online survey was used to collect the data from 150 manufacturing firms. The data were analyzed using the partial least squares (PLS) approach.

The results indicate that open innovation positively affects servitization strategy. Moreover, consumer co-creation moderates the impacts of servitization on firm performance.

This study confirms the significant role of open innovation and consumer integration in the servitization process, establishing that managers should effectively integrate different stakeholders from the service design stage (through open innovation) to the service delivery stage (through co-creation).

The paper's results prominently advance the present body of servitization literature by showing how the implementation of open innovation improves the servitization process, an issue that has been ignored in previous studies. Moreover, it seeks to resolve the inconsistent results on servitization's effect on performance by indicating the role of consumer co-creation in the servitization–performance link.

3D printing has been warmly welcomed by clothing enterprises for its customization capacity in recent years. However, such clothing enterprises have to face the digital transformation challenges brought by 3D printing. Since the business model is a competitive weapon for modern enterprises, there is a research gap between business model innovation and digital transformation challenges for 3D-printing garment enterprises. The aim of the paper is to innovate a new business model for 3D-printing garment enterprises in digital transformation.

A business model innovation canvas (BMIC), a new method for business model innovation, is used to innovate a new 3D-printing clothing enterprises business model in the context of digital transformation. The business model canvas (BMC) method is adopted to illustrate the new business model. The business model ecosystem is used to design the operating architecture and mechanism of the new business model.

First, 3D-printing clothing enterprises are facing digital transformation, and they urgently need to innovate new business models. Second, mass customization and distributed manufacturing are important ways of solving the business model problems faced by 3D-printing clothing enterprises in the process of digital transformation. Third, BMIC has proven to be an effective tool for business model innovation.

The new mass deep customization-distributed manufacturing (MDC-DM) business model is universal. As such, it can provide an important theoretical reference for other scholars to study similar problems. The digital transformation background is taken into account in the process of business model innovation. Therefore, this is the first hybrid research that has been focused on 3D printing, garment enterprises, digital transformation and business model innovation. On the other hand, business model innovation is a type of exploratory research, which means that the MDC-DM business model’s application effect cannot be immediately observed and requires further verification in the future.

The new business model MDC-DM is not only applicable to 3D-printing garment enterprises but also to some other enterprises that are either using or will use 3D printing to enhance their core competitiveness.

A new business model, MDC-DM, is created through BMIC, which allows 3D-printing garment enterprises to meet the challenges of digital transformation. In addition, the original canvas of the MDC-DM business model is designed using BMC. Moreover, the ecosystem of the MDC-DM business model is constructed, and its operation mechanisms are comprehensively designed.

This study provides an up-to-date review of additive manufacturing (AM) technologies and guidance for selecting the most appropriate ones for specific applications, taking into account the main features, strengths, and limitations of the existing options.

A literature review on AM technologies was conducted to assess the current state-of-the-art. This was followed by a closer examination of different AM machines to gain a deeper insight into their main features and operational characteristics. The conclusions and data gathered were used to formulate a classification and decision-support framework.

The findings indicate the building blocks of the selection process for AM technologies. Furthermore, this work shows the suitability of the existing AM technologies for specific cases and points to opportunities for technological and decision-support improvements. Lastly, more standardization in AM would be beneficial for future research.

The proposed framework offers valuable support for decision-makers to select the most suitable AM technologies, as demonstrated through practical examples of its utilization. In addition, it can help researchers identify the limitations of AM by pinpointing applications where existing technologies fail to meet the requirements.

The study offers a novel classification and decision-support framework for selecting AM technologies, incorporating machine characteristics, process features, physical properties of printed parts, and costs as key features to evaluate the potential of AM. Additionally, it provides a deeper understanding of these features as well as the potential opportunities for AM and its impact on various industries.

Although crowd logistics (CL) is a promising digital solution, its future development remains uncertain. This paper aims to suggest multiple possible futures of CL in terms of business relationships and value co-creation between manufacturers and digital platforms.

This paper offers a systemic and multistakeholder approach related to the field of strategic foresight, based on the scenario method. The scenarios construction involved 22 participants (practitioners, academic researchers and foresight experts).

Four scenarios emerged from the strategic foresight study. For each scenario, the configuration, diffusion and coordination of CL – as well as the balance of power between manufacturers, digital platforms and customers – are specified.

The foresight analysis reveals not one certain future, but multiple potential business configurations and research avenues related to the development of CL.

The adopted multistakeholders perspective, including macro factors, regarding CL allows business-to-business (B2B) managers to rethink its potential. Managers can use the scenarios to consider multiple types of coordination with digital platforms and its implication for value co-creation.

This paper provides insights into social changes that may constitute drivers and consequences of the development of CL and identifies two forms of coupling that may drive the development of CL: regulation–social transformation and technology–environment.

This research contributes to IMP research on B2B relationships in digital contexts, by showing that CL presents an opportunity for the co-creation of distribution value in a B2B environment.

Jason has had a string of bad luck: he was fired from his job, his car got repossessed, he had to move back in with his mother when he was unable to make rent on his apartment, and his girlfriend dumped him. He is feeling unmotivated and discouraged, but also recognizes—at his mother's insistence—that he needs to start contributing to the household. Following his mother's orders, he heads to the local strip mall seeking employment.

How hard could it be to get a job, anyway?

This study examines whether there are unintended consequences that emerge from status interventions in task groups in relation to cohesion and solidarity. Past theorists have argued that inconsistent status structures produce weaker levels of cohesion and solidarity in comparison to consistent status structures.

Data come from an online experiment involving mixed-sex dyads interacting in one of three conditions. Participants individually completed an ambiguous problem-solving task and then worked together over Zoom audio to form a group decision. In the three conditions, participants were either given no performance feedback before the problem-solving task or were informed the male or the female participant performed better on a pretest related to the task. The conversations were recorded and analyzed using measures related to paraverbal synchronization and accommodation.

In terms of self-reported cohesion, there appeared to be a difference, albeit a weak one, in only the inconsistent-status condition, with female participants reporting higher levels of cohesion in comparison to males. However, in terms of solidarity, there was no significant difference between the conditions.

Although inconsistent status structures were associated with weaker perceptions of cohesion, it did not appear to impact solidarity like theorists have suggested. Status structures do not appear to impact group solidarity.

The nature of group membership in conjunction with status consistency/inconsistency may produce the significant differences in solidarity that theorists have suggested.

To date, there has been little empirical examination of how status consistency affects cohesion and solidarity. Relatedly, the current study advances the research on vocal accommodation by analyzing status and solidarity simultaneously.

As an emerging tool for data discovery, data retrieval systems fail to effectively support users' cognitive processes during data search and access. To uncover the relationship between data search and access and the cognitive mechanisms underlying this relationship, this paper examines the associations between affective memories, perceived value, search effort and the intention to access data during users' interactions with data retrieval systems.

This study conducted a user experiment for which 48 doctoral students from different disciplines were recruited. The authors collected search logs, screen recordings, questionnaires and eye movement data during the interactive data search. Multiple linear regression was used to test the hypotheses.

The results indicate that positive affective memories positively affect perceived value, while the effects of negative affective memories on perceived value are nonsignificant. Utility value positively affects search effort, while attainment value negatively affects search effort. Moreover, search effort partially positively affects the intention to access data, and it serves a full mediating role in the effects of utility value and attainment value on the intention to access data.

Through the comparison between the findings of this study and relevant findings in information search studies, this paper reveals the specificity of behaviour and cognitive processes during data search and access and the special characteristics of data discovery tasks. It sheds light on the inhibiting effect of attainment value and the motivating effect of utility value on data search and the intention to access data. Moreover, this paper provides new insights into the role of memory bias in the relationships between affective memories and data searchers' perceived value.

Despite the vulnerability of rapidly developing and emerging market economies, researchers have paid less attention to the determination of the size of money laundering (ML) in these economies, including the United Arab Emirates (the UAE). Therefore, this paper aims to estimate the magnitude of ML in the UAE between 1975 and 2020 based on the currency demand approach (CDA).

The study uses the Gregory–Hansen cointegration technique alongside the autoregressive distributed lag bounds testing procedure to estimate the CDA model.

The results illustrate that an amount equivalent to about 19.034% of the GDP is laundered in the UAE between 1975 and 2020, on average, with the value lying between 15.129% and 23.121%. In addition, the results demonstrate the importance of the real estate market, gold trade, remittance channels and the size of the underground economy in facilitating the laundering of illicit funds in the country.

To the best of the authors’ knowledge, the study is the pioneering attempt at estimating the amount of illicit funds laundered in the UAE. Besides, the adoption of a novel, yet robust, approach based on the modification of the CDA technique also sets the study apart as it ensures a correct, clear, unambiguous and indisputable estimate of the magnitude of ML is obtained. In addition, it is expected that the outcome of the study will expand the frontiers of knowledge among policy makers and relevant agencies and ensure the adoption of the most efficient and effective measures to curb the ML menace in the country.

This case is used in Darden's required first-year course, “Strategic Thinking and Action.”

In 2015, Steve and Heidi Crandall, the founders of Devils Backbone Brewing, LLC (DBB), were looking back on eight years of unanticipated success and significant growth. DBB had created a destination, a brand, and beer that drew people from all over, and it was the largest craft brewery in its region. The entire community, not just loyal beer drinkers, had supported DBB. In addition to funding and zoning accommodations, so many local residents had built their own economic lives around what had been their “little brewery that could.”

But the success had brought challenges, specifically in terms of growth. DBB was consistently not meeting demand in its existing markets and was receiving complaints about out-of-stocks. The Crandalls and their team had to figure out how to grow with, or preferably ahead of, demand for DBB's product. Should DBB build further capacity despite an already exhausted line of credit? Should it employ a contract brewer despite the local authenticity concerns such a move might stir up? Or should it just keep trying to manage business within its existing footprint, comfortably serving its loyal customer base?

What are the academic experiences of senior professors in the field of public relations (PR) at the Brazilian universities? This chapter proposes the advance of knowledge on the theoretical framework of contemporary liberal feminism by refining the previous theoretical and methodological publications. This theoretical lens prevails in earlier works, with empirical studies grounded in industry and corporate environments – mainly done by researchers from the United Kingdom, North America and Scandinavia, while PR feminist postmodernism appears in European literature – all scarce in Brazil and Global South (Latin America and African nations). Moreover, studies applying female or male PR scholars in university settings are rare in national and international literature. Hence, we gathered data and analysed narratives from seven senior female PR professors from Brazil, using an interpretative qualitative approach. Thus, this chapter about the female PR academic experiences and everyday practices highlights the starting point for an onto-epistemological discussion to understand the liberal feminist educational-based context in a Latin American country. Henceforth, two conceptual-practical dimensions – feminist PR competence and feminist PR performance – along with three methodological recommendations are presented for enhancing the contemporary liberal feminism theme as a robust research domain in PR and Strategic Communication agenda.