153 reads in the past 30 days
Digital Leadership Competency to Enhance Digital TransformationJune 2024
·
976 Reads
·
2 Citations
Published by World Scientific and Portland International Center for Management of Engineering and Technology (PICMET)
Online ISSN: 1793-6950
·
Print ISSN: 0219-8770
Disciplines: Management
153 reads in the past 30 days
Digital Leadership Competency to Enhance Digital TransformationJune 2024
·
976 Reads
·
2 Citations
53 reads in the past 30 days
Blockchain in Financial Services: Current Status, Adoption Challenges, and Future VisionAugust 2023
·
1,574 Reads
·
11 Citations
49 reads in the past 30 days
Critical Success Factors for Implementing Cloud ERP in SMEs: A Systematic ReviewNovember 2023
·
446 Reads
·
6 Citations
48 reads in the past 30 days
The Orchestration Approach in Innovation: A Systematic Literature ReviewApril 2024
·
316 Reads
·
3 Citations
41 reads in the past 30 days
Technology Takes the Wheel: Unveiling the Drivers of Car Dashcam AdoptionJanuary 2024
·
376 Reads
·
3 Citations
The main emphasis of the International Journal of Innovation and Technology Management (IJITM) is on the promotion and discussion of excellent research on technological innovation. As a platform for reporting, sharing, as well as exchanging ideas, IJITM encourages novel research findings, industry best practices, and reports on recent trends. In particular, the journal focuses on managerial issues and challenges (and ways to address them) motivated through the increasing pace of technological advancement globally. This international and interdisciplinary research dimension is emphasized in order to promote greater exchange between researchers of different disciplines as well as cultural and national backgrounds.
This double-blind peer-reviewed journal encompasses all facets of the process of technological innovation from idea generation, conceptualization of new products and processes, R&D activities, and commercial application. Research on all firm sizes, from entrepreneurial ventures, small and medium sized enterprises (SMEs), as well as large organizations, is welcome.
Contributing to and enriching existing knowledge in the fields of innovation and technology management, topics of this journal cover the following, but are not limited to:
IJITM is the official journal of the Portland International Center for Management of Engineering and Technology (PICMET).
February 2025
February 2025
·
40 Reads
Smart home devices are a crucial part of the Internet of Things (IoT) industry and offer advantages such as comfort and energy efficiency which can be utilized to improve well-being in home environments. These devices include smart meters, smart watches, remote-controlled lighting, heating and water consumption systems, security systems, home ventilation, door locks, smart TVs, smart speakers, refrigerators, and smart washing machines. This study conducted a bibliometric analysis of published scholarly research papers in the Scopus database from 2000 to 2023. VOSviewer and Biblioshiny R software were employed to map and visualize the documents. The findings reveal that, on a global scale, research on smart home devices has proliferated since 2013, with the USA emerging as a prominent world leader in both publications and citations. Developing domains of expertise in smart home devices include machine learning, deep learning, ambient intelligence, and intelligent sensors.
February 2025
·
26 Reads
This study examines the impact of environmental, social, and governance (ESG) performance and technological innovation (TI) on corporate financing efficiency (CFE) in Chinese firms. Data from 400 companies listed in the Shanghai and Shenzhen A-share markets, alongside ESG scores, were derived from the Thomson Reuters ESG scoring system spanning 2013–2022. Fixed effects (FE) and quantile regressions were employed to explore this relationship. The findings demonstrate that ESG and TI have significant and positive effects on CFE. Furthermore, TI is a moderator that strengthens the linkage between ESG and CFE. Findings emphasize the critical importance of ESG performance in obtaining cost-effective financing for Chinese firms. This underscores the critical need for businesses and regulators to prioritize and integrate ESG practices into corporate strategies. Such integration facilitates access to lower-cost financing, enhances cost efficiency, and optimizes investments in green technology. The findings emphasize the importance of fostering a sustainable corporate culture that supports the alignment of TI with ESG principles in business operations. These outcomes carry substantial implications for the corporate sector and regulatory frameworks, highlighting the pivotal role of sustainable practices in driving financial performance and long-term prosperity.
January 2025
January 2025
·
13 Reads
Venture capital (VC) is essential for the growth of small and medium enterprises (SMEs) in developed e-commerce countries. SMEs play a crucial role in the economic development of both developing and developed countries. This paper proposes the influence of VC on the growth of e-commerce in SMEs using the propensity score matching (PSM) method. PSM is defined as the statistical analysis of observational data, where a statistical matching method attempts to evaluate the impacts of a treatment or policy. The experimental results show that the effect of e-commerce on SMEs who received VC financing experience improves the performance of employment growth and sales. Our findings reveal that VC significantly enhances employment rates and sales performance in e-commerce sectors. The study underscores the critical role of VC in driving innovation and growth within SMEs, providing valuable insights for investors and policymakers aiming to foster economic development.
January 2025
·
8 Reads
The dimensions of technology-led, business model-led, and services or product-led disruptions are well established. However, scant literature considers regulatory actions and assesses their disruptiveness. Using the definition of disruption from Kilkki et al. [2018], this paper proposes a “Disruption Assessment Framework” for assessing the disruptiveness of regulation. The “Disruption Assessment Framework” considers measures related to redesigning of survival strategies of existing agents and the percentage of the agents in an ecosystem that are disrupted. Using the Disruption Assessment Framework, the authors analyze the disruptiveness of four key regulatory actions from the telecommunications industry in India. The creation of TRAI, the introduction of Calling Party Pay, the permission to use Wireless in a local loop, and the issuance of a 2G license in 2008 are found disruptive. The study reveals that regulatory actions can be disruptive and may negatively impact the market, unlike technology-based innovations. Contrary to regulatory objectives, disruptions due to regulations may impact market and consumer welfare negatively. This paper is a novel attempt to analyze the disruptiveness of regulatory initiatives taken in the telecommunications industry in India. Findings from this study can be incorporated into the regulatory impact analysis and regulatory consultation process to identify risk from regulatory disruption ex-ante.
January 2025
·
23 Reads
The growing turbulence of business environments has amplified the need to anticipate technological breakthroughs through systematic processes referred to as Future-oriented Technology Analysis (FTA). FTA practices that the literature reports are diverse and, in various aspects, not univocally defined. Additionally, the empirical evidence concerning the implementation of different FTA practices, concerning various methodological approaches covered by the FTA as a whole, is still scant. This study aims to fill this gap by investigating whether the heterogeneity of processes that have emerged from the literature mirrors real-world business practices and by exploring the relationship between the different characterizing features of FTA. The study employs a multiple case study design, analyzing the FTA processes implemented in 10 Italian companies and examining six main dimensions of analysis: systematicity, strategic nature, object, methodological approach, time horizon and stakeholders involved. The case analysis revealed that the practices adopted by these companies are typically non-systematic, often relying on informal and de-structured processes. The strategic relevance of FTA varies based on industry characteristics. However, in all these cases, the primary focus of FTA was on identifying emerging technologies, rather than predicting and creating future technologies. Finally, a predominant configuration of FTA emerged, involving the usage of FTA to detect existing or emerging technologies using qualitative techniques and the involvement of external stakeholders to enhance the anticipatory performance of the process.
January 2025
·
9 Reads
January 2025
January 2025
·
4 Reads
January 2025
·
7 Reads
January 2025
·
1 Read
December 2024
·
114 Reads
In contrast to conventional Social Network Sites, BeReal counteracts staged self-portrayal and aims for authenticity by posting a photo at an unannounced time within a short period. This study is the first to investigate drivers and barriers for using BeReal. Furthermore, this study successfully links BeReal usage intention to subjective well-being. Building on the Self-Determination Theory, the Unified Theory of Acceptance and Use of Technology 2, and specific particularities, a research model is validated by n = 657 consumers using partial least square structural equation modeling. The study contributes to the research intersection of SNS, technology acceptance, and effects on well-being.
December 2024
·
19 Reads
Countries have traditionally relied on various innovation measures to plan national-wise strategies and analysis, which hinders their ability to take proactive actions beforehand. This study introduces an advanced model for predicting national innovativeness using machine learning techniques. Utilizing a comprehensive dataset that includes 1,410 observation points and 20 variables from 141 countries spanning from 2011 to 2020, the data were sourced from the World Bank Open Data, Global Entrepreneurship Monitor (GEM) and Global Innovation Index (GII). The proposed model employs machine learning algorithms such as regression tree, random forest, support vector machine and extreme gradient boosting (XGBoost), and benchmarks their performance against the traditional linear regression analysis method. The findings reveal that all five machine learning models significantly outperform the traditional linear regression model in terms of correlation, root mean square error (RMSE) and mean absolute error (MAE), with XGBoost demonstrating superior performance. The XGBoost analysis highlights university and industry research collaboration, knowledge workers and logistics performance as the most critical variables influencing national innovativeness. This research not only presents a robust predictive model leveraging machine learning but also contributes to theoretical advancements by uncovering previously overlooked variables, offering new insights and practical implications for enhancing national innovation strategies.
November 2024
·
43 Reads
Background: In an era where technological advancements are reshaping the global workforce, understanding the dynamics of technology adoption within the public sector becomes paramount. This study examines how employees in the Ghanaian public sector respond to technology readiness (TR) in terms of their career adaptability (CA) and innovative work behavior (IWB). The uniqueness of this research lies in its empirical investigation of how TR’s motivational and inhibitory dimensions influence CA and, subsequently, IWB, within a context marked by rapid digital transformation. This study is essential due to the key role of Ghana’s public sector employees in national development, especially with ongoing digitization. It fills a research gap by assessing how these employees’ psychological readiness for technology affects their careers and innovation. Method: The study used a cross-sectional survey design and collected data from 484 public sector employees and their supervisors. Partial least squares structural equation modeling (PLS-SEM) was used to test the hypotheses. Results: Findings reveal that optimism, insecurity, and discomfort — components of TR — exert a significant influence on CA, which in turn fosters IWB. Interestingly, innovativeness did not predict CA, suggesting a nuanced interplay between TR dimensions and adaptability. Implications: By elucidating the factors that drive CA and IWB in response to TR, this study offers valuable insights for policymakers and organizational leaders seeking to enhance employee adaptability and innovation amidst technological changes. It underscores the importance of nurturing an optimistic and secure technological environment to cultivate a resilient and forward-thinking public sector workforce. Originality/Value: This study pioneers the exploration of TR’s impact on CA and IWB, utilizing the career construction model of adaptation as a theoretical lens. The findings provide actionable strategies for bolstering the public sector’s technological and innovative capacity, informed by the empirical evidence from the surveyed sample.
November 2024
·
79 Reads
The research attempts to determine the inclination toward embracing e-commerce, focusing on the satisfaction of low- and middle-income consumers with online services and their ability to navigate a secure online platform. We examine our hypothesis with survey technique. The questionnaire was adapted from prior studies. The research was carried out through empirical methods, utilizing a convenience sample of 290 participants from various locations in Barishal, Chattogram, Dhaka, Khulna, Rajshahi, Rangpur, Mymensingh, and Sylhet, from Bangladesh. SMARTPLS was used for analysis of the gathered data. The findings demonstrated that the desire to utilize e-commerce is strongly and positively predicted by perceived risk, social influence, and facilitating aspects. This study addresses the gap by identifying and understanding these three aspects together, beyond contextual barriers, that influence e-commerce adoption among low- and middle-income consumers in Bangladesh. The study contributes to the understanding of e-commerce adoption in emerging markets by providing a comprehensive, theoretically grounded model that identifies key institutional and contextual elements influencing online shopping behavior. The insights gained offer valuable implications for policymakers and e-commerce platforms aiming to enhance user engagement in online shopping. However, the lack of thorough study that addresses problems outside contextual imperatives limits our knowledge of what motivates e-commerce in Bangladesh. This study examines a comprehensive, theoretically developed model that find the pertinent institutional and contextual elements that might lead to the uptake of online shopping in underdeveloped countries.
November 2024
·
44 Reads
This study embarks on a comprehensive bibliometric analysis to elucidate the intricate relationship between knowledge management capabilities and perceived performance within information technology small and medium-sized enterprises (IT SMEs). Utilizing data from the Web of Science and Scopus databases, this research meticulously examines occurrences, word frequencies, and clustering analyses to identify pivotal thematic areas influencing IT SMEs. By employing advanced tools such as RStudio software and the Biblioshiny application, the study dissects average citations per year, presenting a dynamic view of research impact and evolving significance in the domain. Authorship dynamics are explored through Lotka’s law, and geographic contributions are analyzed, highlighting the global and collaborative essence of knowledge management research. Factorial analysis further reveals layered dimensions of research trends, offering guidance for researchers and practitioners in crafting nuanced strategies. The collective insights underscore the paramount role of knowledge management in enhancing IT SMEs’ performance and competitive edge, marking a significant stride toward understanding and implementing effective knowledge management strategies in the rapidly evolving IT landscape.
November 2024
·
24 Reads
Banks are increasingly motivated to align their business operations with the United Nations Sustainable Development Goals (SDGs) as this can help them attract investors and build a more loyal customer base in the long run. This paper explores whether major UK banks (HSBC Holdings Plc, Lloyds Banking Group Plc, Barclays Plc, Standard Chartered Plc, and NatWest Group Plc) are increasing their involvement in green banking by transitioning away from fossil fuels. The research gathered expert and policymaker views on decarbonization (reducing carbon footprint) at the Scotland Policy Conference UK in 2022 to support its findings. The results reveal slow progress toward a green banking regime, as the banks continued underwriting fossil fuel IPOs and bond issuances, and funding carbon-intensive industries. Their portfolios primarily consist of fossil fuel projects, with implications for insufficient effort toward meeting UN SDGs related to global climate commitments. The study proposes a policy recommendation: governments should introduce regulations requiring banks to develop a minimum percentage of financial products and services designed to support SDG-related activities, fostering a low-carbon economy.
November 2024
·
15 Reads
As the text is written on a special digitizer or Personal Digital Assistance (PDA) in which a sensor picks up the pen-tip movements along with the pen-up/pen-down switching, its automatic conversion is performed in the online Handwriting Recognition (HR). There are several works related to the online recognition of Devanagari as well as Tamil scripts. Meanwhile, the online recognition works associated with other Indian languages, specifically Telugu, which is complex in its structure together with style, are very few. Our work emphasizes the development of an online handwritten Telugu character recognition system using dominant points with the combination of SVM and performance analysis of various other features. Three classifiers namely, SVM, K-NN and MLP are used to examine the performance of the feature vectors. The proposed research is verified with HP-Lab data available in the UNIPEN format.
November 2024
·
5 Reads
October 2024
·
41 Reads
This study uses an extensive sample of company data referring to seven Latin American countries to analyze the potential influence of simultaneity and heterogeneity in determining decisions to commit to R&D and innovation outputs. First, the analysis focuses on the decisions about spending on in-house and external research. Second, the outcomes of three different innovations: process, product, and organizational. Choices were considered simultaneously by employing a multivariate probit estimation model. In so doing, the enquiry considered the possible systematic interdependencies among the decisions. The results indicate that the two R&D decisions are interdependent. However, a different picture emerged in relation to innovation outputs, in which the correlations coefficients were small with unexpected signs. This may indicate a structural weakness of the technological production system in Latin America, wherein the synergies, complementarities, and complex relationships usually involved in the process of innovation are not fully developed.
September 2024
·
9 Reads
September 2024
·
2 Reads
·
1 Citation
September 2024
·
5 Reads
This study investigates how incubators provide feasible solutions to increase the opportunities for exploratory innovation (EI) of small business enterprises (SBEs). Participation in cross-industry collaborations (CICs) bridged by incubators provides the foundation for the view that SBEs access cross-industry knowledge (CIK) to increase their potential for EI. Hypotheses are tested using CICs of 489 SBEs of Taiwanese university-based incubators. Results show that accessing CIK has a significant and positive influence on the EI of SBEs. Business assistance, technological assistance, and coaching service also strengthen the benefits of CIK for EI. Business assistance and coaching service allow SBEs to increase EI regardless of access to CIK. However, this positive effect cannot be achieved through technological assistance alone but rather in combination with access to CIK.
July 2024
·
108 Reads
In recent years, many companies have been involved in the development of machine learning systems. However, developing machine learning systems presents unique challenges compared with the traditional IT system development. In software engineering, research has been conducted on software development methodologies for machine learning systems, but most of these studies focused on the development process of individual machine learning systems, and limited research has investigated the exploitation process of continuously enhancing machine learning systems after their development and deployment. Thus, this paper focuses on the exploitation process, in which the collaboration between the machine learning systems and humans evolves gradually. Specifically, four stages of the exploitation process are proposed: visualization for machine learning, human-centered machine learning assistance, machine learning-centered human assistance, and autonomy without human involvement. Then, the characteristics and challenges of each stage are clarified. In addition, this paper examines the important aspect of trust in this context. The findings of this study are expected to provide guidelines for advancing machine learning systems incrementally in collaboration with humans from the perspective of the exploitation process rather than focusing on the development process.
Journal Impact Factor™
CiteScore™
Immediacy Index
Eigenfactor®
Article Influence Score
SNIP
SJR
Article processing charge