How does the digital innovation process unfold in practice? A novel third-generation and empirical-based need–solution pairing model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Haneen Allataifeh ◽  
Sedigheh Moghavvemi ◽  
Jahan Ara Peerally
Keyword(s):  
Phenomenological Study ◽  
Small And Medium Enterprises ◽  
Innovation Process ◽  
Third Generation ◽  
Digital Innovation ◽  
Content Type ◽  
Academic Knowledge ◽  
Operational Activities ◽  
Initiation Stage ◽  
Medium Enterprises

PurposeThere is a lack of empirical-based models derived from practice to explain the digital innovation process. The authors investigate how the digital innovation process unfolds in practice.Design/methodology/approachThe authors undertake an exploratory and phenomenological study of 21 Malaysian small and medium enterprises (SMEs) in the information and communication technology (ICT) sector.FindingsThe findings show that the delineation between digital innovation process and outcome is blurred in practice, due to the process' iterative nature. Under this process, customers' role has changed from being passive receivers of innovative products to active reviewers, testers, influential decision-makers, initiators and co-creators at different review points in the innovation process. Enterprises' role has expanded from being the initiator of the innovation process to being a cogitative actor by seeking and absorbing knowledge from customer reviews into the digital innovation process. Market analysis is often the initiator of the digital innovation process, and the findings shed light on the underlying causative mechanisms of the initiation stage, which are understudied and not well understood in the existing literature.Originality/valueThe study contributes to academic knowledge by answering scholars' call for developing third-generation practice-based innovation models, which accounts for enterprises' context-specificities and internal and external environments, and for exploring the suitability of the need–solution fit approach for the digital innovation process. Such models have only been conceptually advocated in the literature. The study also informs practitioners on the organizational and operational activities involved in managing and strategizing for the digital innovation process.

Social media as tool for facilitating knowledge creation and innovation in small and medium enterprises

2018 ◽  
Vol 13 (3) ◽  
pp. 329-344 ◽  
Author(s):  
Armando Papa ◽  
Gabriele Santoro ◽  
Lia Tirabeni ◽  
Filippo Monge
Keyword(s):  
Social Media ◽  
Knowledge Creation ◽  
Small And Medium Enterprises ◽  
Theoretical Perspective ◽  
Innovation Process ◽  
Digital Tool ◽  
Content Type ◽  
Media Usage ◽  
Medium Enterprises ◽  
The Impact

Purpose The purpose of this paper is to study the effects of social media usage on four knowledge creation processes, namely socialisation, externalisation, combination and internalisation, and innovation in small and medium enterprises (SMEs). Design/methodology/approach A sample of 96 SMEs has been used to gather data through a standardised questionnaire and test the hypotheses through OLS regression models. Findings The results indicate that social media influence positively three out of four knowledge creation processes and that they help to foster the innovation process. Originality/value From a theoretical perspective, the study contributes to literature considering a specific digital tool and its effect on knowledge creation and innovation. In fact, a few studies have considered the impact of social media usage on other variables, such as ROI and productivity, but never on knowledge creation and innovation through a quantitative study. From a managerial perspective, the research suggests managers to implement and involve social media within business and innovation processes.

scholarly journals Opening up to startup collaborations: open business models and value co-creation in SMEs

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Antonio Ghezzi ◽  
Angelo Cavallo ◽  
Silvia Sanasi ◽  
Andrea Rangone
Keyword(s):  
Business Model ◽  
Business Models ◽  
Small And Medium Enterprises ◽  
Single Case ◽  
Innovation Process ◽  
Unique Contribution ◽  
Content Type ◽  
Focal Firm ◽  
Medium Enterprises ◽  
Open Business Models

Purpose This study aims at exploring how small and medium enterprises (SMEs) can implement a more open and co-creational business model by actively collaborating with startups. Design/methodology/approach Because of the novelty of the SME–startup collaboration phenomenon and to the depth of the investigation required to grasp the mechanisms and logic of an open and co-creational business model, a single-case study has been performed related to investigating a collaboration between an SME and a startup. Findings The authors provide detailed empirical evidence on how SMEs may structure a “systematic” approach to design and execute an open business model enabled by startup collaboration. Moreover, this study suggests that the business model innovation process represents a necessary forerunner of an open business model. Finally, the authors contend that research on open business models should entail a broader perspective beyond the innovation process, to include business model validation through testing approaches like the lean startup. Originality/value This study takes as the locus of investigation the original perspective of the external partner of a focal firm willing to innovate. This study offers a unique contribution because, to date, few studies adopted such view within a relevant and under-remarked empirical setting linking SMEs and innovative startups.

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.

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.

Determinants and outcomes ofe-business adoption among manufacturing SMEs: Insights from a developing country

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muneer Abbad ◽  
Ibrahim Hussien Musa Magboul ◽  
Kholoud AlQeisi
Keyword(s):  
Structural Equation ◽  
Small And Medium Enterprises ◽  
Ease Of Use ◽  
Government Support ◽  
Relative Advantage ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Business Practitioners ◽  
Using Data ◽  
Medium Enterprises

Purpose In response to a turbulent industrial environment, especially for small and medium enterprises (SMEs), organizations have widely adopted e-business to improve their processes. This study aims to propose a model that encapsulates the determinants and outcomes of e-business adoption. Design/methodology/approach The determinants and outcomes of e-business adoption were tested using data gathered from 282 managers and analysed using structural equation modelling techniques. Findings The results indicated that owner support, perceived ease of use and government support were important determinants that influence e-business adoption. Attitude, competitive pressureand relative advantage were not significant. Regarding outcomes, e-business adoption had a major impact on SME functioning and operational progress; however, it had no influence on competitive advantage. Originality/value By ascertaining the determinants and outcomes of e-business adoption, the findings provide e-business practitioners and managers with guidelines that can encourage more efficient and effective e-business adoption within their organizations. The results also provide a basis for more precise e-business studies to be conducted in developing countries.

Technical efficiency and its determinants in the Indian textile garments industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdulla ◽  
Shiv Kumar
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Textile Industry ◽  
Small And Medium Enterprises ◽  
Stochastic Frontier ◽  
Efficiency Score ◽  
Value Chains ◽  
Small Scale ◽  
Content Type ◽  
Medium Enterprises

Purpose This paper aims to examine technical efficiency and its determinants in Indian textile garments industry in post-agreement on textiles and clothing regime and evaluate the technical efficiency among micro, small and medium enterprises (MSMEs) firms. Design/methodology/approach This study uses unbalanced panel data for the period 2005–2010 to 2015–2016. The stochastic frontier function is used to estimate technical efficiency and its determinants. Findings The results show that the overall ecosystem of textile garments’ value chains could be improved to enhance the technical efficiency thereof. The result also reveals that small-scale firms have the highest technical efficiency scores, and medium-scale firms have the least technical efficiency score among all the categories of MSMEs. Research limitations/implications The textile garments industry needs to define its innovation strategies, as these strategies lead to different results that can be achieved only through the management of resources dedicated to the generation and implementation of innovations. Practical implications This study has shown that to offset India’s cost disadvantage in the international markets, there is a need to develop an ecosystem of textile manufacturing and value chains, eliminate the inverted duty structure (where inputs are taxed at a higher rate than the final product) and switch over from shuttle looms toward shuttle-less looms. This would unleash the potential of textile and garments industry and make it globally competitive and technically efficient. Further, there will be an alignment with the ease of doing business with an appropriate mix of policy, technology, institution, infrastructure, information and services. Originality/value Using frontier production function takes stochastic context into account for the dynamic character of technical efficiency and its components. Most of the past studies have assessed technical efficiency at the aggregate level using three-digit National Industrial Classification (NIC) or four-digit NIC code. An analysis at higher levels of aggregation masks the variation in technical efficiency. This study used five-digit NIC data to measure the firm-specific technical efficiency of the textile industry. According to the authors’ knowledge, this study is the first of its kind in the Indian textile industry using stochastic frontier approach and panel data. Further, it also looks at the contribution of different determinants in technical efficiency to the firms.

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