Search results

Managing farm waste is a fundamental problem for farmers with economic, environmental and social impacts throughout the supply chain. Little research has explored innovative product solutions. This paper examines gleaning to reduce farm waste and proposes a resource-based Gleaning Innovation Framework which can lead to differentiated consumer products.

A multi-method approach, including descriptive company reviews, practitioner interviews and consumer surveys, evaluated how different participants in the food supply chain view the farm waste problem and the innovation of products through gleaning.

This research found that practitioners and consumers are cognizant and invested in reducing farm waste, with gleaning as a plausible solution. Future research includes gathering perspectives from retailers and other supply chain members, which may further develop the conceptualization of the gleaning innovation process.

Uniquely, the authors propose the Gleaning Innovation Framework that provides a platform for innovation across the supply chain to reduce farm waste. The research contributes to the farm waste debate with evidence that gleaning can assist the reduction of farm waste through product innovation. Developing innovations to reduce farm waste in sustainable and environmentally friendly ways would not only benefit the supply chain platform but also society.

Although the UN Sustainable Development Goals (SDGs) emphasize the importance of leaving no one behind, the opposite is happening for the world's 89 million forcibly displaced people who are mostly left out of SDGs’ reporting and progress. A key reason for this poor outcome is that host country governments plan refugee camps as short-term shelters, but refugees stay in these camps for more than a decade on average due to ongoing conflicts in their home country. This disparity between intent and reality prevents sustainable living conditions for refugee populations. Operational innovations are needed to find sustainable solutions that ensure a higher quality of life and progress toward sustainability in refugee camps.

Through an abductive case study, the authors develop a theoretical framework on sustainable operational innovations for refugee camps. The authors use this framework to analyze four sustainable operational innovations implemented in three refugee camps in Jordan.

The authors develop three research propositions that describe the conditions required for these operational innovations to succeed: they need to include specific needs and cultural preferences of refugees, they must accommodate host governments' restrictions that limit permanent settlement, and finally, technological innovations require careful data management policies to protect refugees. Doing this, the authors account for the broader political-economic and ecological environments that refugee camps are embedded in.

This paper opens a new area of research on sustainable innovation in humanitarian operations. It provides insights into key contingency factors moderating the link between operational innovations and sustainability outcomes. It represents one of the few studies that build their theorizing upon field data collected in refugee camps.

This paper aims to explore the growth of the South African additive manufacturing (AM) industry over the past 31 years through the lens of the innovation system (IS) perspective, examining the actor dynamics and mechanisms that facilitated or hindered the industry’s development.

The study used a case study research approach, analysing semi-structured interviews with eight South African AM experts and documentary evidence. The IS framework and the realist evaluation perspective were used, using a context-intervention-mechanism-outcome (CIMO)-based event history analysis (EHA) framework to explore the actor dynamics and mechanisms of the case study.

The study used a case study research approach, analysing semi-structured interviews with eight South African AM experts and documentary evidence. The IS framework and the realist evaluation perspective were used, using a CIMO-based EHA framework to explore the actor dynamics and mechanisms of the case study.

This paper contributes to the South African AM industry literature by providing an overview of the industry events over the past three decades and analysing the industry through the IS framework. The study is among the first to analyse the development of the South African AM industry, presenting innovation scholars and managers with valuable decision-making support by providing insights into the innovation activities performed during each stage of the industry’s development, who performed them, the sequence in which they were performed and the outcomes they delivered.

This paper aims to propose a conceptual framework showing factors favoring the adoption of information systems (IS)-based service innovations in the public sector at the organizational level.

The research design is based on the development of a theoretical framework from the technology–organization–environment framework and from a case study of an outsourced IS-based electronic document management system from six different ministries in the same state in Mexico.

Strong contrasts in the degree of adoption of the service innovation appeared among various ministries involved in state government, revealing differences in the presence or absence of key variables, integrated into theoretical framework, including perception of external pressure; perception of benefits and risks and organizational readiness; and political, sociotechnical and economical inertia in given institutional conditions, leading to different public value outcomes associated with intraorganizational efficiencies and to the relationship between public administration and politicians.

Public managers must consider process mapping and sources of political, sociotechnical and economical inertia in given institutional conditions, to ensure a satisfactory adoption of service innovations in public administration and create public value. The promotion of a more structured and enduring professional career system in such context is another key to the adoption of innovations.

Based on theoretical and empirical grounds, the main contribution of this paper is to emphasize, through an integrated theoretical framework, the relatively unexplored roles of process mapping in organizational readiness and of political, sociotechnical and economic sources of inertia in relation to specific agents in the adoption of public sector service innovations at the organizational level in the context of the public administration in Mexico to produce public value.

This systematic literature review investigates the contribution of design thinking (DT) as a process and tool to drive innovation in a sustainable built environment (SBE) and develops a new model for sustainability research integrating DT and future thinking approaches toward achieving a unified DT and foresight notion for future research and applications.

This review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Open-access English articles published between 2000 and 2022 identified using the EBSCOhost, Emerald Insight, DOJA, JSTOR, Scopus and Taylor and Francis database searches were reviewed. The review framework deploys a previously proposed modified Ansoff matrix with an integrated innovation matrix to identify and analyze the challenges and opportunities for innovation growth in SBE. Additionally, a citation analysis was conducted to explore the impact of DT for innovation in SBE, and a proposed framework based on design by drawing on foresight theory was developed.

Research on DT for innovation in SBE faces the challenge of unanticipated impacts. According to the average number of citations per document, innovation associated with new solutions within a new context seems to become highly influential. Additionally, research gaps exist in the integration of foresight and DT into sustainability research to identify new contexts and solutions to SBE. A model of foresight design thinking (FDT) is proposed to guide future research and support the practical application of DT in sustainability.

This analysis was limited by the selection criteria as only certain keywords were used and English-only articles were selected. Future research should consider the use of DT for innovation in SBE using various important keywords, which would improve research findings and expand the contribution of DT to SBE.

The FDT model offers a new holistic framework for the iterative process of reframing and reperception, focusing on divergent and convergent thinking with the goal of contributing to SBE practices.

The integrated framework of DT and foresight can contribute to the study and development of sustainable innovation and a strategic shift toward a sustainable society.

The integration of DT, foresight and sustainability can broaden the horizons of sustainability research by systematically addressing future challenges related to SBE, which can be translated into feasible and innovative solutions. Thus, the FDT model complements the application of DT in sustainable innovation in this research field.

Many cities across the world are actively investing in ways to excel in the innovation economy through the development of innovation districts as one of the most popular policy options. While innovation districts are among the leading drivers of innovation activities in cities, they are also high-cost and high-risk investments. Besides, holistic approaches for assessing these districts’ multifaceted performances are scarce. Bridging this knowledge gap is critical, hence, this paper aims to explore how innovation district performance can be assessed through a classification framework.

The paper introduces a multidimensional innovation district classification framework and applies it into Australian innovation districts with divergent features, functions, spatial and contextual characteristics. The study places 30 innovation districts from South East Queensland under the microscope of the framework to assess the multifaceted nature of innovation district performance. It uses qualitative analysis method to analyse both the primary and secondary data, and descriptive analysis with basic excel spreadsheet calculations to analyse the validity of the data.

The data analysis clusters 30 innovation districts from South East Queensland under three performance levels – i.e. desired, acceptable and unsavoury – concerning their form, feature and function characteristics.

The results disclose that the framework is a practical tool for informing planners, developers and managers on innovation district performances, and it has the capability to provide guidance for policymakers on their policy and investment decisions regarding the most suitable innovation district types and characteristics to consider.

Enterprises in the digital context attach importance to the participation of heterogeneous subjects in co-creation activities. As the core source of organizational innovation, employees are bound to assume responsibilities or provide role value in the process of digital innovation. While employee-driven digital innovation frameworks are being explored, together with research on employee innovation behavior mostly focusing on the “net effect” of single-level variables on outcomes.

Following the interaction logic of employee level and organizational level, this study applies ability, motivation and opportunity (AMO) theory and fuzzy set qualitative comparative analysis to explore the influence of various digitization related factors' conditional configuration on employees' digital innovation behavior.

The results indicate that type of “self-motivation with multiple supports”, “organization-driven with digital oriented” and “digital-driven with ambidextrous complementary” constitute the configuration that drives high digital innovation behavior, while type of “cognitive deficit with environmental slack” and “fuzzy motivation with opportunity misapplication” constitute the configuration that drives nonhigh digital innovation behavior.

This conclusion enriches the theoretical research on digital innovation that regards individuals as action potentials and provides important guidance for how to cultivate and activate employees' digital innovation behaviors in management practice.

This paper addresses the growing fragmentation between traditional and digital service innovation (DSI) research and offers a unifying metatheoretical framework.

Grounded in service-dominant (S-D) logic's service ecosystems perspective, this study builds on an institutional and systemic, rather than product-centric and linear, conceptualization of value creation to offer a unifying framework for (digital) service innovation that applies to both physical and digital service provisions.

This paper questions the commonly perpetuated idea that DSI fundamentally changes the nature of innovation. Instead, it highlights resource liquification—the decoupling of information from the technologies that store, transmit, or process this information—as a distinguishing characteristic of DSI. Liquification, however, does not affect the relational and institutional nature of service innovation, which is always characterized by (1) the emergence of novel outcomes, (2) distributed governance and (3) symbiotic design. Instead, liquification makes these three characteristics more salient.

In presenting a cohesive service innovation framework, this study underscores that all innovation processes are rooted in combinatorial evolution. Here, service-providing actors (re)combine technologies (or more generally, institutions) to adapt their value cocreation practices. This research demonstrates that such (re)combinations exhibit emergence, distributed governance and symbiotic design. While these characteristics may initially seem novel and unique to DSI, it reveals that their fundamental mechanisms are not limited to digital service ecosystems. They are, in fact, integral to service innovation across virtual, physical and blended contexts. The study highlights the importance of exercising caution in assuming that the emergence of novel technologies, including digital technologies, necessitates a concurrent rethinking of the fundamental processes of service innovation.

Industry 4.0 defines the application of digital technologies on business infrastructure and processes. With the increasing need to take into account the social and environmental impact of technologies, the concept of Society 5.0 has been proposed to restore the centrality of humans in the proper utilization of technology for the exploitation of innovation opportunities. Despite the identification of humans, resilience and sustainability as the key dimensions of Society 5.0, the definition of the key factors that can enable Innovation in the light of 5.0 principles has not been yet assessed.

An SLR, followed by a content analysis of results and a clustering of the main topics, is performed to (1) identify the key domains and dimensions of the Industry 5.0 paradigm; (2) understand their impact on Innovation 5.0; (3) discuss and reflect on the resulting implications for research, managerial practices and the policy-making process.

The findings allow the elaboration of a multileveled framework to redefine Innovation through the 5.0 paradigm by advancing the need to integrate ICT and technology (Industry 5.0) with the human-centric, social and knowledge-based dimensions (Society 5.0).

The study detects guidelines for managers, entrepreneurs and policy-makers in the adoption of effective strategies to promote human resources and knowledge management for the attainment of multiple innovation outcomes (from technological to data-driven and societal innovation).

The Sendai framework for disaster risk reduction (DRR) 2015–2030 offers guidelines to reduce disaster losses and further delivers a wake-up call to be conscious of disasters. Its four priorities hinge on science, technology and innovations as critical elements necessary to support the understanding of disasters and the alternatives to countermeasures. However, the changing dynamics of current and new risks highlight the need for existing approaches to keep pace with these changes. This is further relevant as the timeline for the framework enters its mid-point since its inception. Hence, this study reflects on the aspirations of the Sendai framework for DRR through a review of activities conducted in the past years under science, technology and innovations.

Multidimensional secondary datasets are collected and reviewed to give a general insight into the DRR activities of governments and other related agencies over the past years with case examples. The results are then discussed in the context of new global risks and technological advancement.

It becomes evident that GIS and remote sensing embedded technologies are spearheading innovations for DRR across many countries. However, the severity of the Covid-19 pandemic has accelerated innovations that use artificial intelligence-based technologies in diverse ways and has thus become important to risk management. These notwithstanding, the incorporation of science, technology and innovations in DRR faces many challenges. To mitigate some of the challenges, the study proposes reforms to the scope and application of science and technology for DRR, as well as suggests a new framework for risk reduction that harnesses stakeholder collaborations and resource mobilizations.

The approach and proposals made in this study are made in reference to known workable processes and procedures with proven successes. However, contextual differences may affect the suggested approaches.

The study provides alternatives to risk reduction approaches that hinge on practically tested procedures that harness inclusivity attributes deemed significant to the Sendai framework for DRR 2015–2030.