scholarly journals Strengthening digital collaboration to enhance social innovation capital: an analysis of Italian small innovative enterprises

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Roberto Chierici ◽  
Debora Tortora ◽  
Manlio Del Giudice ◽  
Barbara Quacquarelli
Keyword(s):  
Online Survey ◽  
Social Innovation ◽  
Small And Medium Enterprises ◽  
Analysis Data ◽  
Content Type ◽  
Digital Collaboration ◽  
Medium Enterprises ◽  
Resources Sharing ◽  
Innovation Capital ◽  
Collective Capacity

PurposeThe study aims to investigate whether and how digital transformation, in terms of digital collaboration, joint efforts with internal/external partners to achieve common goals and the adoption of digital tools supporting this practice, affect social innovation capital in the context of small innovative enterprises (SIEs).Design/methodology/approachThe research hypotheses derived from the analysis of the literature, evaluating how sharing resources, sharing intensity and digital patterns affect the collective capacity of SIEs to innovate, were investigated by applying multiple regression analysis. Data were retrieved from a sample of Italian SIEs through an online survey.FindingsThe main findings suggest that the propensity to spread resources and the sharing intensity positively affect the collective capacity of SIEs to innovate. Also, the effect of resources sharing on collective innovation increases as more digital patterns are used as tools. The connection is weaker for the intensity of resources sharing.Research limitations/implicationsThe study is conducted on Italian SIEs, a particular cluster of small and medium enterprises (SMEs). It would be interesting to compare and contrast the results of an analysis of a large sample of international companies, of different sizes and belonging to digital and non-digital sectors.Originality/valueThe results enrich the existing literature on social innovation capital, by clarifying its competitive benefits on the characteristic context of the SIEs and underlining the mediating role of the digital patterns.

Identification of challenges and their ranking in the implementation of cloud ERP

2017 ◽  
Vol 34 (7) ◽  
pp. 1056-1072 ◽  
Author(s):  
Shivam Gupta ◽  
Subhas C. Misra ◽  
Akash Singh ◽  
Vinod Kumar ◽  
Uma Kumar
Keyword(s):  
Enterprise Resource Planning ◽  
Online Survey ◽  
Small And Medium Enterprises ◽  
Data Extraction ◽  
Resource Planning ◽  
Content Type ◽  
Integration Data ◽  
Medium Enterprises ◽  
Security Network ◽  
Business Complexity

Purpose The purpose of this paper is to identify the critical challenges in the implementation of cloud enterprise resource planning (ERP). The challenges identified were customization, organizational change, long-term costs, business complexity, loss of information technology competencies, legal issues, integration, data extraction, monitoring, migration, security, network dependency, limited functionality, awareness, performance, integrity of provider, perception, and subscription costs. Here the small and medium enterprises (SMEs) and large organizations were differentiated with respect to the challenges identified. This paper also suggested ranked lists of challenges both for SMEs and large organizations. Design/methodology/approach An online survey was conducted and data of 93 respondents were analyzed. Exploratory factor analysis and one-way analysis of variance (ANOVA) was used to statistically test the data. Here the SMEs and large organizations were differentiated with respect to the challenges identified. Findings This study shows that SMEs and large organizations differ from each other for most of the challenges except business complexity, integration, monitoring, security, limited functionality, performance, and integrity of provider. Also from the ranked list of challenges in cloud ERP, security was the top concern for both SMEs and large organizations. Originality/value The findings may help organizations to get a broad idea about the challenges which are critical for the implementation of cloud ERP.

Towards a better understanding of intellectual capital in Mexican SMEs

2014 ◽  
Vol 15 (2) ◽  
pp. 316-332 ◽  
Author(s):  
Alain Daou ◽  
Egide Karuranga ◽  
Zhan Su
Keyword(s):  
Intellectual Capital ◽  
Structural Equation ◽  
Online Survey ◽  
Small And Medium Enterprises ◽  
Equation Model ◽  
Content Type ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
External Capital ◽  
Medium Enterprises

Purpose – The purpose of this paper is to understand the characteristics of intellectual capital (IC) in Mexican small and medium enterprises (SMEs). Due to the shift from traditional factors of production to knowledge-based economy, an understanding of the role of IC has become crucial for SMEs to develop a competitive advantage. Design/methodology/approach – This study takes an in depth look at the three components of IC: human, organizational, and external capital. In order to do so, a quantitative study on 445 SMEs was conducted based on data collected through an online survey. A structural equation model is proposed that is a fit with the reality of Mexican SMEs. Regional differences are highlighted by means of multigroup analysis. Findings – The results suggest that the features of human and organizational capital are consistent with previous studies on SMEs in emerging economies. However, external capital shows some distinctive characteristics unique to Mexican context. Practical implications – Implications for managers and policymakers are discussed, whereby an adaptation of programs and policies are required to fit the Mexican context at the national and regional levels. Originality/value – To the best of the authors knowledge, this is the first study that observes the components of IC in Mexican SMEs.

A tool for measuring SMEs’ reputation, engagement and goodwill

2017 ◽  
Vol 18 (1) ◽  
pp. 170-188 ◽  
Author(s):  
Rosalind Heather Whiting ◽  
Paul Hansen ◽  
Anindya Sen
Keyword(s):  
Social Media ◽  
Cluster Analysis ◽  
Online Survey ◽  
Small And Medium Enterprises ◽  
Relative Importance ◽  
Content Type ◽  
Internet Presence ◽  
Medium Enterprises ◽  
Scoring Tool ◽  
Google Search

Purpose The purpose of this paper is to develop a rating and scoring tool for measuring small and medium enterprises’ (SMEs) reputation, engagement and goodwill (REG), including internet presence and following on social media, by an exploratory study undertaken in New Zealand. Design/methodology/approach A discrete choice experiment (DCE) applying the PAPRIKA method via an online survey was conducted to determine weights representing the relative importance of six indicators related to SMEs’ REG. Usable responses were received from 159 people involved with SMEs. Cluster analysis to identify participants with similar patterns of weights was performed. Findings The six indicators, in decreasing order of importance (mean weights in parentheses), are: “captured” customer opinions about the business (0.28); contact with customer database (0.19); website traffic (0.16); Google Search ranking (0.15); size of customer database, (0.11); and following on social media (0.11). These indicators and weights can be used to rate and score individual SMEs. The cluster analysis indicates that participants’ age has some influence on their weights. Research limitations/implications Only 159 usable responses for the DCE. Practical implications The indicators and their weights provide a practical and inexpensive tool for measuring SMEs’ REG. Originality/value This is the first study to use a DCE to determine weights representing the relative importance of indicators included in a tool for measuring SMEs’ REG. The tool is innovative because it includes readily available indicators of firms’ internet presence and following on social media.

Innovation process of micro, small and medium enterprises (MSMEs) in greater Jakarta area (perspective from foodpreneurs)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sevenpri Candra ◽  
I Nyoman Agus Dwi Wiratama ◽  
Muhammad Airlangga Rahmadi ◽  
Vincent Cahyadi
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Small And Medium Enterprises ◽  
Innovation Process ◽  
Sampling Technique ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Content Type ◽  
Collective Entrepreneurship ◽  
Medium Enterprises

Purpose Micro, small and medium enterprises (MSMEs) are a critical part of a country or region’s economy. They have contributed to more than half of Indonesia’s gross domestic product. However, MSMEs today are still getting problems and obstacles in the Indonesian industry. One of them is the lack of knowledge about entrepreneurship that hampers the development of a business and the emergence of innovation. This study aims to understand the innovation process and extend the knowledge regarding entrepreneurship in food and beverage MSMEs in Greater Jakarta Area. Design/methodology/approach This study is descriptive–associative research. It uses the online survey as a data collection method with a cross-sectional design. The sampling technique is purposive sampling with the criteria foodpreneurs from MSMEs in Greater Jakarta Area. The data are measured using Likert scale and analyzed using structural equation modeling-partial least squares. Findings The results suggest that centralized decision-making positively impacts collaboration, communication and contributes to innovation. Communication effects the entrepreneur's knowledge and collective entrepreneurship. In terms of collaboration, it affects entrepreneur's knowledge and collective entrepreneurship. Then, the entrepreneur's knowledge and collective entrepreneurship influence innovation. Research limitations/implications This research is only conducted using MSMEs of food and beverages in Greater Jakarta Area as the samples. Hence the results cannot be generalized. Different sectors may have different results. Practical implications A centralized decision can be done but limited in certain situations only. Then, foodpreneurs should collaborate and communicate more intensely with their employees. It will impact the harmonious collaboration and collective problem-solving to achieve creative solutions. Originality/value There is limited research focusing on foodpreneurs and the innovation process. So, this research results can add to the existing literature review.

Learning from the “data poor”: energy management in understudied organizations

2014 ◽  
Vol 32 (4) ◽  
pp. 424-442 ◽  
Author(s):  
Kathryn B. Janda ◽  
Catherine Bottrill ◽  
Russell Layberry
Keyword(s):  
Energy Management ◽  
Empirical Data ◽  
Online Survey ◽  
Small And Medium Enterprises ◽  
Low Cost ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
The Uk ◽  
Medium Enterprises

Purpose – The purpose of this paper is to present new empirical data on leases, energy management, and energy meters in the UK, with a particular focus on small and medium enterprises (SMEs) and other “minor” players. The paper develops a new segmentation model that identifies six different combinations of energy and organizational conditions. Design/methodology/approach – The authors surveyed participants in an online energy management and data analytics service. A 30-question online survey gathered data from 31 respondents on three kinds of infrastructure – legal, organizational, and technical. Findings – SMEs and other minor players are generally “data poor,” lack energy managers, and have legacy meters that are read only annually or quarterly; some rent via leases that inhibit permanent alterations to the premises, including the meter. Research limitations/implications – The research is exploratory and subject to self-selection bias. Further research is needed into: lease language, governance structures, social practices to facilitate cooperation between tenants and landlords; the scope for energy management positions in small organizations; low-cost “smart-er” meters that can be reversibly retrofitted onto existing energy meters; and the combination of these areas. Practical implications – Organizations may need to augment a combination of legal, organizational, and technical infrastructures to enable better energy management. Social implications – SMEs and other “minor” energy users are important to society and the economy, yet they are often overlooked by government programs. This developing data set can help policymakers include these groups in their programs. Originality/value – This paper presents a new conceptual framework for future research and new empirical data on understudied groups.

Twiga Hosting Ltd – providing affordable information and communication technologies services to small and medium enterprises

2011 ◽  
Vol 1 (4) ◽  
pp. 1-16
Author(s):  
Juma James Masele
Keyword(s):  
Information And Communication Technologies ◽  
Undergraduate Students ◽  
Success Factors ◽  
Small And Medium Enterprises ◽  
Innovation Management ◽  
Communication Technologies ◽  
Subject Area ◽  
Content Type ◽  
Information And Communication ◽  
Medium Enterprises

TitleTwiga Hosting Ltd – providing affordable information and communication technologies services to small and medium enterprises.Subject areaThe case describes the launch of Twiga Hosting Ltd, a company providing information and communication technology (ICT) services to the underserved small and medium enterprise (SME) sector in Tanzania and in a many countries in Africa.Study level/applicabilityThis case targets a range of audience from undergraduate students taking both Bachelor of Commerce and those taking Bachelor of Business Administration; and Postgraduate students taking business‐related courses. Nonetheless, the case may be used by all other learners of advanced studies in entrepreneurship and innovation management.Case overviewThe case addresses a number of issues including: Issues to be considered when starting an ICT enterprise. Strategic management. Business revenue models.Expected learning outcomes To impart/inculcate entrepreneurial insights in ICT and related areas. To make learners aware of the business growth opportunities in ICT ventures. The success factors for fruitful ICT ventures. To enable learners to identify challenges facing entrepreneurs in ICT ventures and the ways to overcome them.Supplementary materialsTeaching notes.

Relevant factors of innovation contests for SMEs

2017 ◽  
Vol 23 (6) ◽  
pp. 1196-1215 ◽  
Author(s):  
Maria Isabel Rodriguez Ferradas ◽  
José A. Alfaro Tanco ◽  
Francesco Sandulli
Keyword(s):  
New Product Development ◽  
Corporate Culture ◽  
Small And Medium Enterprises ◽  
Retrospective Case ◽  
Content Type ◽  
Context Factors ◽  
Medium Enterprises ◽  
Design Factors ◽  
Relevant Factors

Purpose The purpose of this paper is to explore the relevant factors that influence the implementation of innovation contests, an open innovation (OI) practice that has been extensively reported in the literature as a managerial tool for external knowledge search. The authors focus the study on the context of small and medium enterprises (SMEs). Design/methodology/approach The approach is a retrospective case study. This methodology allows an in-depth view into a Spanish SME that successfully undertook two new product development processes thanks to the deployment of innovation contests. Findings The main context factors influencing innovation contests as managerial tool are ambidexterity, technological and marketing turbulence and intermediaries, among others. Regarding design factors, this work highlights the role of attraction and facilitation. Additionally, the repetitive implementation of innovation contests creates a corporate culture that promotes OI activities. Practical implications Managers will understand that they can use innovation contests as a managerial tool, and knowing the factors that need to be taken into account when implementing an innovation contest will help SMEs managers to make better use of this practice. Originality/value This case study enriches the literature of both innovation contests and topics relevant to SMEs. Based on a theoretical framework of the design factors that influence the implementation of innovation contests, the authors propose a research framework that incorporates those context factors in association with an SME.

Effects of cloud computing assimilation on supply chain financing risks of SMEs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qiang Lu ◽  
Jinliang Chen ◽  
Hua Song ◽  
Xiangyu Zhou
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Small And Medium Enterprises ◽  
Supply Chain Integration ◽  
Content Type ◽  
Supply Chain Financing ◽  
Medium Enterprises ◽  
The Relationship ◽  
Moderating Role

Purpose The purpose of this study is to examine how cloud computing assimilation reduces supply chain financing (SCF) risks of small and medium enterprises (SMEs). This study also investigated the mediating roles of internal and external supply chain integration between cloud computing assimilation and the SCF risks of SMEs, as well as the moderating role of environmental competitiveness. Design/methodology/approach Data was collected from surveys of SMEs located in China. Multiple regression analysis was used to validate the proposed theoretical model and research hypotheses. Findings The findings show that cloud computing assimilation could reduce the SCF risks of SMEs directly. The results also indicate that both internal and external supply chain integration mediate the relationship between cloud computing assimilation and SCF risks. Furthermore, environmental competitiveness inhibits the effects of cloud computing assimilation on SCF risks. Originality/value To our best knowledge, this is the preliminary study to explore the role of cloud computing assimilation in reducing the SCF risks of SMEs. Also, this study attempted to investigate the process by which cloud computing assimilation affects the SCF risks of SMEs.

How to survive in the age of artificial intelligence? Exploring the intelligent transformations of SMEs in central China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jinqiang Wang ◽  
Yaobin Lu ◽  
Si Fan ◽  
Peng Hu ◽  
Bin Wang
Keyword(s):  
Artificial Intelligence ◽  
Small And Medium Enterprises ◽  
Policy Support ◽  
Central China ◽  
Limited Resources ◽  
Text Data ◽  
Content Type ◽  
External Pressures ◽  
Medium Enterprises

PurposeThe purpose of the research is to explore how small and medium enterprises (SMEs) in central China achieve intelligent transformation through the use of artificial intelligence (AI). Because of unequal resource allocation, constraints on the intelligent transformation of SMEs in central China are different from those in economically and technologically well-developed coastal provinces. Hence, the authors focus on SMEs in central China to identify drivers of and barriers to intelligent transformation.Design/methodology/approachThe interview data were collected from 66 SMEs across 20 industries in central China. To verify the validity of the data collection method, the authors used two methods to control for retrospective bias: multi-level informants and enterprises' AI project application materials (Wei and Clegg, 2020). The final data were validated without conflicts. Next, the authors cautiously followed a two-step approach recommended by Venkatesh et al. (2010) and used NVivo 11.0 to analyze the collected text data.FindingsSMEs in central China are enthusiastic about intelligent transformation while facing both internal and external pressures. SMEs need to pay attention to both internal (enterprise development needs, implementation cost, human resources and top management involvement) and external factors (external market pressure, convenience of AI technology and policy support) and their different impacts on intelligent transformation. However, constrained by limited resources, SMEs in central China have been forced to take a step-by-step intelligent transformation strategy based on their actual needs with the technological flexibility method in the short term.Originality/valueConsidering the large number of SMEs and their importance in promoting China's economic development and job creation (SME Bureau of MIIT, 2020), more research on SMEs with limited resources is needed. In the study, the authors confirmed that enterprises should handle “social responsibility” carefully because over-emphasizing it will hinder intelligent transformation. However, firms should pay attention to the role of executives in promoting intelligent transformation and make full use of policy support to access more resources.

Big data-driven supply chain and performance: a resource-based view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shampy Kamboj ◽  
Shruti Rana
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Small And Medium Enterprises ◽  
Data Driven ◽  
Equation Modeling ◽  
Firm Age ◽  
Content Type ◽  
Sustainable Performance ◽  
Medium Enterprises

PurposeThe main objective of this paper is to study the role of supply chain performance (SCP) as a mediator between big data-driven supply chain (BDDSC) and firm sustainable performance. In addition, the role of firm age as a moderator between BDDSC and SCP as well as between SCP and firm sustainable performance has also been explored.Design/methodology/approachThe 200 managers of medium or senior level positions in micro, small and medium enterprises (MSMEs) located at Delhi-NCR have been contacted. Further, collected data have been confirmed with confirmatory factor analysis (CFA). In this paper, structure equation modeling (SEM) has been employed to empirically check the proposed hypotheses and their relationships.FindingsThe findings confirmed that SCP mediates the link between BDDSC and firm sustainable performance. Additionally, firm age moderates the association between BDDSC and SCP as well as between SCP and firm sustainable performance.Research limitations/implicationsThe role of SCP and firm age between BDDSC and sustainable performance have been examined in the context of MSMEs in Delhi-NCR and thereby limit the generalization of results to other industries and country contexts.Originality/valueThe present study adds to the existing literature via recognizing the blackbox using SCP and firm age to comprehend BDDSC and firm sustainable performance relationship.

Sign in / Sign up

Export Citation Format

Share Document