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1 – 10 of 22Matthew M. Lastner, David A. Locander, Michael Pimentel, Andrew Pueschel, Wyatt A. Schrock, George D. Deitz and Adam Rapp
This study aims to examine the applicability of Hartmann et al.’s (2018) service ecosystem framework to the day-to-day management of the modern sales force. The authors provide a…
Abstract
Purpose
This study aims to examine the applicability of Hartmann et al.’s (2018) service ecosystem framework to the day-to-day management of the modern sales force. The authors provide a review of the framework, acknowledging its strengths, while also indicating areas for advancement. The authors conclude with recommendations to the framework and indicate opportunities where future research could advance sales theory.
Design/methodology/approach
A review of the theoretical underpinnings of the service ecosystem framework is weighed against the established roles and responsibilities of the modern sales force in the literature.
Findings
The ability of the framework to capture the multi-level, multi-actor and dynamic aspects of sales represents an improvement in the conceptualization of selling is critical. Suggestions around the refinement for meso-level sales interactions and a more pliant application of service dominant-logic are offered.
Research limitations/implications
The suggested extensions of the framework continue the advancement of novel theorization for the field of sales. Priorities for future research include consideration of ethical implications of the framework and formulations of new management strategies reflective of the broad and dynamic properties of the ecosystem conceptualization.
Practical implications
This paper provides managerial guidelines and implications tied specifically to the thick and thin crossing points and how they may impact employee decision-making.
Originality/value
To the best of the authors’ knowledge, this study is the first to pointedly examine the service ecosystem framework with respect to established principles of managing a modern sales force.
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Rahabhi Mashapure, Brighton Nyagadza, Lovemore Chikazhe, Gideon Mazuruse and Precious Hove
The main purpose of this research is to investigate factors influencing rural women entrepreneurship development and sustainable rural livelihoods in Manicaland province of…
Abstract
Purpose
The main purpose of this research is to investigate factors influencing rural women entrepreneurship development and sustainable rural livelihoods in Manicaland province of Zimbabwe.
Design/methodology/approach
A quantitative research was conducted in Manicaland province in Zimbabwe. Data were collected through structured questionnaires from 400 women entrepreneurs in various sectors. The participants were in vegetable vending, operating clothing flea markets and cross border trading. A self-administered structured questionnaire was used to collect data from respondents. Structural equation modeling in SmartPLS version 3 was used to test the research hypotheses.
Findings
The study established that women entrepreneurship is driven by financial factors, positive environmental factors, positive psychological factors as well as positive sociological factors for a sustainable rural livelihood.
Research limitations/implications
It is clear that if the discovered challenges are not addressed, sustainability of women entrepreneurship will remain a dream.
Practical implications
The study came up with strategies for improving women entrepreneurship activities. Future research can be done in other areas of provinces to avoid generalization challenges.
Social implications
Many challenges hinder the sustainability of women entrepreneurship. Major impediments to women entrepreneurship comprises inadequate support from government schemes, patriarchal societal structure of the community, lack of relevant entrepreneurial knowledge to manage businesses, lack of collateral security to access funding, time limitation or role conflict to balance family pressures and business.
Originality/value
The study recommends proper entrepreneurship education and training, supportive government schemes and access to network affiliation/connection to sustain women entrepreneurship.
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Nawel Lafioune, Erik Andrew Poirier and Michèle St-Jacques
The purpose of this study is to frame digital transformation (DT) within municipalities to improve the life cycles of urban infrastructure.
Abstract
Purpose
The purpose of this study is to frame digital transformation (DT) within municipalities to improve the life cycles of urban infrastructure.
Design/methodology/approach
The study provides the results from a systematic review of the literature on concepts of DT and its implications for municipalities, barriers and challenges to DT, as well existing DT frameworks for municipalities and their built assets. This literature review leads to the development of a DT framework to help cities conduct a planned and federated DT beforehand. Then, workshops are conducted with two major Canadian municipalities.
Findings
The results of these studies point to the need for a dedicated DT framework for municipalities because of their particular context and their role and proximity to citizens. The theoretical framework develops 22 elements, which are divided among 6 categories. Through its application, the framework helps to identify and target the predominant issues hindering the DT of municipalities, specifically “legacy practices” and “data management.”
Research limitations/implications
Limitations include limited experimental conditions and small sample size. Further work is needed to validate the framework. Other approaches are advocated to complement the data collection and analysis to generate more convincing results.
Practical implications
The theoretical framework was validated through two case studies on two large Canadian municipalities.
Social implications
Municipalities maximize the value they provide to citizens and to be at the forefront of resilience and sustainability concerns. The use of technology, digital processes and initiatives helps cities to improve planning, optimize works and provide better services to citizens.
Originality/value
The framework is original in that it specifically aligns assets management with DT in a municipal context.
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Atiyeh Seifian, Mohamad Bahrami, Sajjad Shokouhyar and Sina Shokoohyar
This study uses the resource-based view (RBV) and isomorphism to investigate the influence of data-based resources (i.e. bigness of data, data accessibility (DA) and data…
Abstract
Purpose
This study uses the resource-based view (RBV) and isomorphism to investigate the influence of data-based resources (i.e. bigness of data, data accessibility (DA) and data completeness (DC)) on big data analytics (BDA) use under the moderation effect of organizational culture (i.e. IT proactive climate). It also analyzes the possible relationship between BDA implementation and value creation.
Design/methodology/approach
The empirical validation of the research model was performed through a cross-sectional procedure to gather survey-based responses. The data obtained from a sample of 190 IT executives having relevant educational backgrounds and experienced in the field of big data and business analytics were analyzed using structural equation modeling.
Findings
BDA usage can generate significant value if supported by proper levels of DA and DC, which are benefits obtained from the bigness of data (high volume, variety and velocity of data). In addition, data-driven benefits have stronger impacts on BDA usage in firms with higher levels of IT proactive climate.
Originality/value
The present paper has extended the existing literature as it demonstrates facilitating characteristic of data-based resources (i.e. DA and DC) on BDA implementation which can be intensified with an established IT proactive climate in the firm. Additionally, it provides further theoretical and practical insights which are illustrated ahead.
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Le-Vinh-Lam Doan and Alasdair Rae
With access to the large-scale search data from Rightmove plc, the paper firstly indicated the possibility of using user-generated data from online property portals to predict…
Abstract
Purpose
With access to the large-scale search data from Rightmove plc, the paper firstly indicated the possibility of using user-generated data from online property portals to predict housing market activities and secondly embraced a GIS approach to explore what people search for housing and what they chose and investigated the issue of mismatch between search patterns and revealed patterns. Based on the analysis, the paper contributes a visual GIS-based approach which may help planners and designers to make more informed decisions related to new housing supply, particularly where to build, what to build and how many to build.
Design/methodology/approach
The paper used the 2013 housing search data from Rightmove and the 2013 price data from Land Registry with transactions made after the search period and embraced a GIS approach to explore the potential housing demand patterns and the mismatch between searches and sales. In the analysis, the paper employed the K-means approach to group prices into five levels and used GIS software to draw maps based on these price levels. The paper also employed a simple analysis of linear regression based on the coefficient of determination to investigate the relationship between online property views and values of house sales.
Findings
The result indicated the strong relationship between online property views and the values of house sales, implying the possibility of using search data from online property portals to predict housing market activities. It then explore the spatial housing demand patterns based on searches and showed a mismatch between the spatial patterns of housing search and actual moves across submarkets. The findings may not be very surprising but the main objective of the paper is to open up a potentially useful methodological approach which could be extended in future research.
Research limitations/implications
It is important to identify search patterns from people who search with the intention to buy houses and from people who search with no intention to purchase properties. Rightmove data do not adequately represent housing search activity, and therefore more attention should be paid to this issue. The analysis of housing search helps us have a better understanding of households' preferences to better estimate housing demand and develop search-based prediction models. It also helps us identify spatial and structural submarkets and examine the mismatches between current housing stock and housing demand in submarkets.
Social implications
The GIS approach in this paper may help planners and designers better allocate land resources for new housing supply based on households' spatial and structural preferences by identifying high and low demand areas with high searches relative to low housing stocks. Furthermore, the analysis of housing search patterns helps identify areas with latent demand, and when combined with the analysis of transaction patterns, it is possible to realise the areas with a lack of housing supply relative to excess demand or a lack of latent demand relative to the housing stock.
Originality/value
The paper proves the usefulness of a GIS approach to investigate households' preferences and aspirations through search data from online property portals. The contribution of the paper is the visual GIS-based approach, and based on this approach the paper fills the international knowledge gap in exploring effective approaches to analysing user-generated search data and market outcome data in combination.
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This qualitative study focused on how girls' high school coaches in the United States Southwest thought about Latina teens' participation in school sports. Semi-structured…
Abstract
This qualitative study focused on how girls' high school coaches in the United States Southwest thought about Latina teens' participation in school sports. Semi-structured interviews with coaches (4 women, 11 men) indicated they continue to rely on cultural (deficit) discourses implicating girls' families and culture when discussing Latina teens' sports participation. Coaches suggested that Latina teens' parents do not see the value of sports for girls, do not view sports as a pathway to college, are not involved or interested in their daughters' participation for cultural reasons, and are overly productive. These conceptualizations shape coaches' recruitment and pedagogical strategies within school sports contexts. More critical reflections could aid coaches and schools in developing more adaptive school contexts and strategies to better meet the needs of Latina teens and their families.
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Anne K.H. Neal, Merridee Lynne Bujaki, Sylvain Durocher and François Brouard
The authors examine and compare accounting associations' identities in distinct segments of the accounting profession surrounding the 2014 merger of three Canadian accounting…
Abstract
Purpose
The authors examine and compare accounting associations' identities in distinct segments of the accounting profession surrounding the 2014 merger of three Canadian accounting associations.
Design/methodology/approach
The authors conceive of accounting associations' magazine front covers as a setting for “identity performance” (i.e. a scenery through which identity dimensions are intentionally communicated to target audiences). The authors examine pre-merger and post-merger associations' identity performances that took place between January 2011 and December 2020 and identify 21 broad themes that the authors interpret in terms of identity logics (i.e. professionalism/commercialism) and audience focus (society/association members), underscoring (dis)similarities in identity performances pre- and post-merger.
Findings
The authors' analysis reveals distinct identity performances for the different segments of the pre-merger accounting profession and for the post-merger unified accounting association. Identity logics manifest differently: a commercial logic dominated for two of the associations and a professional logic dominated for the third. Identity fluidity was evident in the merged association's shift from commercial toward professional logic when the association ceased publishing one magazine and introduced a new one. Society rather than associations' members dominated as a target audience for all associations, but this focus manifested differently. Post-merger, identity performances continued to focus on society as the audience.
Originality/value
The authors highlight the Goffmanian identity performances (Goffman, 1959) taking place via accounting associations' magazines. The authors adopt a segment perspective (Bucher and Strauss, 1961) that demonstrates that commercialism does not trump professionalism in all segments of the profession. For the first time, the authors juxtapose identity logics (professionalism/commercialism) and targeted audiences to better understand how these facets of accountants' identities compare between segments.
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Yaolin Zhou, Zhaoyang Zhang, Xiaoyu Wang, Quanzheng Sheng and Rongying Zhao
The digitalization of archival management has rapidly developed with the maturation of digital technology. With data's exponential growth, archival resources have transitioned…
Abstract
Purpose
The digitalization of archival management has rapidly developed with the maturation of digital technology. With data's exponential growth, archival resources have transitioned from single modalities, such as text, images, audio and video, to integrated multimodal forms. This paper identifies key trends, gaps and areas of focus in the field. Furthermore, it proposes a theoretical organizational framework based on deep learning to address the challenges of managing archives in the era of big data.
Design/methodology/approach
Via a comprehensive systematic literature review, the authors investigate the field of multimodal archive resource organization and the application of deep learning techniques in archive organization. A systematic search and filtering process is conducted to identify relevant articles, which are then summarized, discussed and analyzed to provide a comprehensive understanding of existing literature.
Findings
The authors' findings reveal that most research on multimodal archive resources predominantly focuses on aspects related to storage, management and retrieval. Furthermore, the utilization of deep learning techniques in image archive retrieval is increasing, highlighting their potential for enhancing image archive organization practices; however, practical research and implementation remain scarce. The review also underscores gaps in the literature, emphasizing the need for more practical case studies and the application of theoretical concepts in real-world scenarios. In response to these insights, the authors' study proposes an innovative deep learning-based organizational framework. This proposed framework is designed to navigate the complexities inherent in managing multimodal archive resources, representing a significant stride toward more efficient and effective archival practices.
Originality/value
This study comprehensively reviews the existing literature on multimodal archive resources organization. Additionally, a theoretical organizational framework based on deep learning is proposed, offering a novel perspective and solution for further advancements in the field. These insights contribute theoretically and practically, providing valuable knowledge for researchers, practitioners and archivists involved in organizing multimodal archive resources.
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