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This paper aims to review the landscape of research in pedagogy and learning that surmounts the challenges of low-tech, information-rich environments during the past decade. It also reviews the methods used, populations studied and places where such research was carried out and proposes a conceptual framework.

A scoping review methodology was used to provide initial, broad insight into the field of learning in low tech environments.

The study found that low tech was not a barrier when it came to effectiveness of pedagogy and learning. In addition, it became apparent that active learning strategies combined with no-tech, low-tech and high-tech resources and strategies can lead to learning environments that are learner-centered, knowledge-centered, assessment-centered and community-centered.

The authors propose the framework for learning in low-tech, information-rich environments, which can be used by researchers, educators, practitioners and policymakers in environments with low technology, or in those with high technology seeking to transfer expertise and technology to these areas.

Much of the scholarly works on open innovation have significantly highlighted the application of the model in high-tech industries in the developed world. However, how the phenomenon applies in low-tech small and medium-sized enterprises (SMEs) in developing countries is still marginal and lacks substantive research. This study aims to draw on the network theory of innovation to examine the open innovation orientations of low-tech SMEs in an emerging market context, particularly Ghana.

The research design used was a qualitative–quantitative approach: the qualitative phase of the study, involving 31 low-tech SMEs, used a multiple case approach through semi-structured interviews and analyzed the interview responses using NVivo statistical tool; the quantitative phase, including 706 low-tech SMEs, also used a survey questionnaire approach and descriptively analyzed data collected using SPSS statistical tool.

Results disclose that the low-tech SMEs’ employment of the open innovation model are preponderantly driven by commercialization purposes, knowledge acquisition motives, financial motives and strategic motives, whereas their open innovation approaches include inbound strategies (collaboration with suppliers, co-creation/customer immersion), outbound strategies (IP licensing out) and coupled strategies (strategic alliances, contract manufacturing, and joint ventures). Moreover, the findings show that the SMEs’ preferred open innovation partners include suppliers, customers, private universities and non-industry, in that order. Finally, results show that the low-tech SMEs’ open innovation advantages include market gains, strategic gains, knowledge gains, operational gains, financial gains and network gains, whereas their open innovation challenges colossally were collaboration barriers and organizational barriers.

These findings purvey valuable perceptiveness for managers, academicians and policymakers alike; they highlight the importance of open innovation to low-tech SMEs, proven strategies, challenges involved and the mechanisms for effective and efficient adoption of the open innovation model.

The value of this study reclines in the extension of open innovation research from high-tech industries in the advanced world to low-tech SMEs in emerging economies. Results of the study enrich the knowledge and understanding of how the theoretical model of open innovation is adopted and implemented by the low-tech SME sector in emerging economies.

Digital disruption no longer ensures the security or longevity of established firm structures and business models. Instead, it necessitates that firms reinvent their business models, including business processes, people, and technologies that align with the organizational goals. Despite the exponential growth of digital disruption, prior literature indicates that the concept of business model innovation is poorly understood in developing economies. Furthermore, little is known about how low-tech firms in developing economies should adapt and reinvent their business models to cope with and shape digital disruption as it unfolds. Grounded in two overarching theoretical frameworks, namely the theory of disruptive innovation and the resources–processes–values (RPV) framework, this chapter addresses this void in prior literature. Based on multiple case study analyses of 10 low-tech firms in diverse industries in Sri Lanka, the findings indicate that successful disruptive business model innovation in low-tech firms in Sri Lanka is predicated on an effective technology management strategy, suitable organizational structure, compatible organizational culture, and devoted corporate governance. Moreover, external influences like changing market dynamics, competition, and shifts in consumer behavior also significantly influence disruptive business model innovation of selected firms. This chapter acts as a springboard for future researchers by extending the theory of disruptive innovation and RPV framework to low-tech industries in developing economies.

The authors seek an answer to the research question: how do the disclosure of the intended use of initial public offering (IPO) proceeds and firm characteristics jointly influence IPO performance?

Data on the use of proceeds, firm age, size, high- or low-tech industry, and the length of the use of proceeds section were collected from 341 IPOs in the USA, UK, and Hong Kong. Fuzzy-set Qualitative Comparative Analysis was used to predict which configurations of IPO use of proceeds and firm characteristics consistently led to above-average IPO performance.

Ten configurations of causal factors were found to lead to above-average IPO performance. Disclosure of IPO proceeds use matters for IPO performance but is contingent on firm characteristics. Whether a firm is in a high- or low-technology industry along with its size and age have distinct effects on which intended uses of proceeds are beneficial and how long their intended proceeds section must be to lead to above-average IPO performance.

These findings contribute to a multidimensional view of IPO performance. The authors use information processing and a management perspective to see how the use of proceeds sections help frame an IPO’s equity story. The use of a configurational methodology and a management perspective shows how IPOs can be viewed as a bundle of attributes.

The purpose of this study is to investigate the role of business process innovativeness in the networking-export performance relationship in a developing country low-tech industry setting. Most innovation research in international business and entrepreneurship is conducted on high-tech industries in developed countries. Less research has focused on the low-tech industry context. This study bridges this research gap by testing whether international new ventures’ (INVs) networking resources impact their export performance through business process innovativeness.

The study tests the link between low-tech INVs’ networking, business process innovativeness and export performance using a sample of 647 export start-up apparel firms in Bangladesh, the second largest apparel exporter in the world.

The results recognize that an INV entrepreneur’s personal and inter-firm networking are directly and positively related to business process innovativeness and export performance. The findings also indicate that business process innovativeness acts as a mediator only between an INV’s inter-firm networking and its export performance.

The study was undertaken in a Bangladeshi low-tech industry setting-the apparel sector; thus, future research may include data collection from a range of industries across countries. Data collected for the purpose of this study used a cross-sectional research design, and this may only have confirmed the relationships in the model and not causality between the constructs.

The findings highlight that low-tech INVs should focus more on leveraging their personal and inter-firm networking resources, as this should result in improved export performance. The results also provide directives for INVs in regard to improving their business process innovativeness to achieve increased performance.

The study is not only carried out in the context of low-tech early internationalizing firms (i.e. INVs), but also contributes to theory and practice by testing whether INVs’ networking resources (personal and inter-firm) have an impact on business process innovativeness, which in turn leads to improved performance.

The mainstream research on knowledge transfer and absorptive capacity (ACAP) in clusters was conducted in high-technology industries in developing countries. However, low technology intensity clusters present a different scenario that might affect this external knowledge transfer and ACAP. This study aims to understand the role of network relations and previous knowledge in the ACAP of a low-technology intensity cluster.

The authors analyzed companies from a low-technology industry in an emerging country. The authors collected 109 questionnaires from companies in the Brazilian footwear manufacturing cluster. Factor analysis led the independent variables to be regrouped into eight variables. This data set was analyzed using regression techniques.

In a low-tech cluster prevalently populated by small companies, companies have access to novelties and knowledge that influence their products and production through the frequency and stability of the network’s relational ties with the supplier. The quality of relationships with clients may provide access to products, materials, technologies and learning. Small companies consider intra-cluster competition because of limitations in accessing external competition. Although low-tech companies need to exchange knowledge and technology with suppliers and clients outside the cluster, most companies are limited in size because of liabilities. In a low-tech cluster dominated by small companies, access to better purchasing costs, new technologies or innovations is an expected weakness. Intra- and extra-cluster ties positively influenced ACAP, as did organizational capabilities, whereas employees’ skills did not.

Individual skills are not related to ACAP in low-technology intensity clusters. The level of ACAP in small and medium enterprises (SMEs) can be explained by the scope of individuals’ knowledge and other individual capabilities.

This study aims to analyse the complementary role of structural and relational capital (as the outcomes of codification and personalisation knowledge management strategies) in renewal capital and innovation in high- and low-tech companies.

The primary data, which were collected through a structured questionnaire from 180 Spanish companies, are analysed using structural equation modelling based on partial least squares.

Overall, the study offers three fundamental findings. First, it demonstrates the outstanding role of renewal capital as an intellectual capital (IC) component; second, it provides a conceptual analysis of the connection between knowledge management strategies and IC; and third, it highlights the necessity of considering the technological level of the firm as a contingency variable affecting the IC–innovation relationship.

The study has three apparent limitations: The sample of firms is restricted to Spanish companies, data concerning the main study variables were collected from only one person at each firm, and not all of the possible components of IC were included in the research model.

Business practitioners can find useful guidelines for making efficient use of knowledge resources when boosting innovation performance, depending on the technological level of their firms.

Although many studies have tried to disentangle the IC–innovation connection, this study is unique, as it considers knowledge management strategies, a novel combination of IC components and the level of technological sophistication in the same analysis.

The purpose of this paper is to determine if the relationship between growth and research and development (R&D) intensity is of a different nature in the context of low‐ and high‐tech Portuguese service small to medium‐sized enterprises (SMEs).

The System Analysis of Iberian Balance Sheets database is used. Based on the European Union's recommendation, L124/36 (2003/261/CE), the authors select 764 low‐tech and 139 high‐tech Portuguese service SMEs for the period 1999‐2006. As method of analysis, panel data are used.

A negative relationship between growth and R&D intensity for low‐tech Portuguese service SMEs is identified, whatever the level of R&D intensity. For high‐tech Portuguese service SMEs, a quadratic U‐shaped relationship between growth and R&D intensity is identified. Moreover, the authors find that relationships between growth and determinants are of a special nature in the context of high‐tech Portuguese service SMEs with high levels of R&D intensity.

It is recommended that as far as possible the managers/owners of low‐tech Portuguese service SMEs, and especially high‐tech ones with non‐high levels of R&D intensity, hire qualified human resources and make more continuous investment in R&D. The authors advise managers/owners of high‐tech Portuguese service SMEs with high levels of R&D intensity to establish stable relationships with creditors. Policy‐makers should increase financial support directed, above all, to innovative Portuguese service SMEs.

The paper is pioneering in presenting different relationships between growth and R&D intensity in the context of low‐ and high‐tech service SMEs.

The purpose of this paper is to explain how internal and external sources of knowledge influence the innovation performance (IP) in Italian manufacturing firms and how different these relationships are for low-technology (LT) and high-technology (HT) firms.

The study proposed a model relating external knowledge, internal knowledge and IP that was tested using Bayesian structural equation modeling with a sample of Italian manufacturing firms of Community Innovation Survey 2010. It was run separately for high-tech firms (including HT and medium-HT aggregations of manufacturing industries of NACE Rev. 2) and low-tech firms (including LT and medium-LT aggregations).

The results showed a difference between high-tech and low-tech manufacturing firms in Italy. The investments to leverage internal knowledge sources are important for high-techs and not significant for low-techs. On the other hand, the level of external KS improves significantly the IP of low-techs and has a negative effect for high-techs. The level of absorptive capacity is central to improve the positive effect of the external knowledge on the IP for all firms, but it is still underdeveloped.

The effects of 2008 economic crisis hit the Italian manufacturing industry specifically hard and are still felt. Innovation is a solution for firms’ growth and Italy is considered a below-average innovator country in Europe. The study could identify important gaps in Italian manufacturing firms that hinder their innovative performance improvement.