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This paper presents a new method to automate robot motion planning in automotive manufacturing environments. A general framework is developed for CAD‐guided robot motion planning. The problem is formulated as a constraint‐satisfying problem of tool configurations or, robot hand poses. Two types of robot motion are considered: discrete motion, or point to point motion, and continuous motion. Triangular facets are used to approximate the part surfaces. A pre‐partition process decomposes the complex part surfaces into several simple, easy‐to‐solve patches. For each patch, robot hand poses are determined to satisfy certain task constraints. In this paper, the approach is applied to two applications: vision sensor planning and spray painting gun path planning. It is our belief that more robot planning applications in manufacturing can benefit from this method.

Automatic trajectory generation for spray painting is highly desirable for today’s automotive manufacturing. Generating paint gun trajectories for free‐form surfaces to satisfy paint thickness requirements is still highly challenging due to the complex geometry of free‐form surfaces. In this paper, a CAD‐guided paint gun trajectory generation system for free‐form surfaces has been developed. The system utilizes the CAD information of a free‐form surface to be painted and a paint gun model to generate a paint gun trajectory to satisfy the paint thickness requirements. A paint thickness verification method is also provided to verify the generated trajectories. The simulation results have shown that the trajectory generation system achieves satisfactory performance. This trajectory generation system can also be applied to generate trajectories for many other CAD‐guided robot trajectory planning applications.

Very little or no study has explored the predictors of behaviour and traits that determine digital entrepreneurship (DE) success. In response, the purpose of this paper is to present a research model that takes information technology (IT) culture as a theoretical lens and personal innovativeness and experience in IT projects as theoretical constructs to predict behaviour and traits that explain DE success.

Based on the literature review, the authors propose hypotheses and a research model. The authors tested the model using structural equation modelling (SEM), by surveying a sample of digital entrepreneurs operating in the Yabacon Valley, Lagos, Nigeria.

The results indicate that IT culture is an essential predictor of achieving DE success. The results also suggest that an entrepreneur's innovativeness in IT and experience in IT projects have significant negative and positive moderating effects on the relationship between IT culture and achieving DE success.

This paper taps into a new setting – DE context – by exploring the moderation effects of an entrepreneur's innovativeness in IT and experience in IT projects on the link between their IT culture and achieving a successful DE outcome.

This model offers managers an understanding of how IT culture and personal innovativeness and experience in IT work together to achieve DE success. Meanwhile, it sheds some light on managers to treat individuals with different levels of experience differently.

The authors theorise IT culture, personal innovativeness and experience in IT and show their effects on DE success, thus making an essential contribution to the information systems (ISs) and entrepreneurship research and practice. Moreover, the authors provide a novel methodology to conceptualise IT culture as a second-order hierarchical reflective construct by giving evidence that partial least squares (PLS) path modelling can assess a hierarchical model with moderating effects. This study answers scholars' call to construct more accurate explanations of innovation outcomes in an increasingly digital world.

This study aims to examine the impact of logistics performance and technological innovation on environmental quality in Africa, focusing on carbon dioxide (CO2) emissions and renewable energy consumption as indicators of environmental quality.

The study employs a panel data analysis of 43 African countries over the period 1990–2021. Data on logistics performance, technological innovation, CO2 emissions, and renewable energy consumption are sourced from the World Development Indicators database of the World Bank. Grounded in the Triple Bottom Line (TBL) framework, which integrates economic, social and environmental dimensions of sustainability, the analysis utilises the generalised method of moments (GMM) technique to address the issue of endogeneity.

The regression results reveal significant relationships between logistics performance, technological innovation and environmental quality indicators. Logistics performance demonstrates a negative impact on CO2 emissions, while technological innovation positively influences renewable energy consumption. The interactive effect of logistics performance and technological innovation mitigates CO2 emissions, aligning with the TBL framework’s environmental dimension by promoting sustainability. Furthermore, trade openness exhibits a significant negative effect on both CO2 emissions and renewable energy consumption. The findings highlight the potential synergies between logistics performance and technological innovation in driving environmental sustainability while offering economic benefits and addressing social well-being.

The findings suggest the importance of prioritising investments in enhancing logistics performance and fostering technological innovation to achieve environmental sustainability goals in Africa.

To the best of the researchers’ knowledge, this study presents an initial attempt to examine the nexus between logistics performance and environmental quality in Africa using the logistics performance index. Furthermore, beyond assessing the individual effects of logistics performance and technological innovation on environmental quality, we delve into their interactive dynamics, adding novelty to the study.

Drawing on the resource dependence theory (RDT), this paper investigates ownership composition, export intensity, and industry class as moderating factors to investigate the role of imported raw materials in performance of inward foreign direct investment (IFDI) in Ethiopia.

The hypotheses were tested using secondary data obtained from the 2016 Central Statistical Agency (CSA) on Large- and Medium-Scale Manufacturing and Electricity Industries Survey. The data included basic quantitative information on the country's manufacturing industry. The data items for the 2016 manufacturing and electricity industries surveyed are the numbers of proprietors or establishments involved in various sectors. The report did not record small firms that employed fewer than 10 people and did not use power-driven machinery. Two-Stage least squares (2SLS) regression analysis was performed to test the proposed hypotheses.

The results of this study indicate that three moderators (ownership composition, export intensity, and industry classification) interact with the hypothetical relationships between imported raw materials and performance. These findings enrich the knowledge of IFDI firms' operations in Ethiopia and in other least-developed countries (LDCs). The findings could provide information for IFDI firms that are looking to invest in LDCs.

Like all social science research, this study has some limitations. First, the research was conducted with the data found in the Report on Large- and Medium-Scale Manufacturing and Electricity Industries Survey In 2016. This was the first year of the second five-year Growth and Transformation Plan (GTP II), a national development plan for the 2016–2020 period. Continual research on IFDI in Ethiopia in the following years will be needed to get a full picture of the effects of the determinants on IFDIs.

To IFDI investors, the result of this thesis demonstrates several alternatives to overcoming hurdles in manufacturing operation. The results find that J.V. firms make better use of imported raw materials than W.O. subsidiaries in order to achieve better performance. Concerning the choice between focusing on export or domestic markets, the study suggests that domestic market—oriented companies require less imported raw materials to achieve better performance. Concerning the comparative advantage on different industries, this study found the performance of firms in Industry 12 depended on imported raw materials. These findings highlight the challenges and opportunities for potential foreign investors. Ownership composition, market factors, and industry factors should be well considered in making investment decisions.

This is one of few studies on IFDI in Ethiopia, the most populous LDC. Ownership composition, export intensity, and industry class are used as moderating variables to investigate the difference between imported raw materials and the level of expatriate deployment to IFDI performance. For IFDI investors, the results of this study demonstrate several alternatives to overcoming hurdles in manufacturing operation.

The purpose of this study is to propose a model of a value cocreation strategy (VCS) for analyzing how enterprises adopt innovative, marketing, and design strategies to achieve their performance goals through cocreation.

In the present study, a case study was conducted to establish a preliminary model. Subsequently, 1,000 NPD project managers in information and communications technology industries were approached to complete a two-stage questionnaire survey. The first survey investigated the VCSs they adopted for their marketing, innovation and design activities (valid questionnaires recovered=283). The valid respondents completed a second survey measuring their NPD performance 18 months after launching a new product (valid questionnaires recovered=247).

A conceptual was constructed to explain the effects of innovation marketing and design cocreation strategies on NPD performance. A partial least squares method was used to test the model showing a good fit between the model and the survey data, indicating the applicability of the proposed model. The innovation marketing and design cocreation strategies of the enterprises affected their NPD performance. Enterprises adopting diverse cocreation strategies improved their NPD performance. The cocreation strategies in the model were independent and mediating variables to NPD performance. A qualitative comparative analysis was performed to examine which strategy configurations affected NPD performance and to explore any regular patterns in them. Finally, a cluster analysis was conducted to investigate four cocreation strategies: market development, technology improvement, cost direction and customer service.

Whether different industry categories involve different characteristics and whether different corporate cultures cause inconsistent result in value cocreation warrants further in-depth investigation. In addition, the two surveys conducted in this study were separated by 18 months, and thus, only the short-term NPD performance could be presented. Future studies are recommended to conduct an extensive exploration of different industries, administer long-term surveys, investigate the different levels of influence of various types of enterprise on the proposed research model or examine the degree of difference in the mechanisms and methods adopted for elevating innovation performance.

Enterprises can reference the proposed approach to optimize their product development and services according to their organizational resources and market advantages to increase their market coverage.

This study was the first empirical study to examine critical factors, such as product innovation, marketing, design and value cocreation strategies, and NPD performance by administering two-stage surveys. Enterprises can reference the proposed method according to their organizational resources and market advantages to develop products and services efficiently and face the ever-changing market.

This study recognizes service as the majority contributor to global and US gross domestic product and the importance of innovation speed to service innovation. Generating innovative products and services at a faster rate generates advantages for business-to-business (B2B) service organizations in keeping up with and moving ahead of rivals. This study aims to introduce the concept of capacity for social exchange (CSE) in buyer–supplier relationships, which reflects the degree to which individuals possess competencies that enable the exchange of information, and this study also explores how CSE affects knowledge sharing and innovation speed within a supply chain organization.

The sampling frame of this research consisted of service businesses in the USA. The data were collected through Zoomerang, an online survey research firm where the B2B panel of Zoomerang formed the sampling frame. The data was collected from 264 B2B service sector executives.

The key findings are as follows: CSE facilitates knowledge sharing; knowledge sharing is positively related to innovation speed; and the relationship between CSE and innovation speed is fully mediated by knowledge sharing. Additional analysis reveals that knowledge channels which are designed as boundary-spanning strategies used to transfer and create knowledge between business units, directly increase – and positively moderate – the relationship between CSE and innovation speed.

This study addresses the gap in literature focused on micro-level influencers on innovation. This study sets out by presenting the concept of CSE, and this study addresses limitations in prior work by examining the research questions.

By focusing on the contextual conditions of South African digital entrepreneurs and the affordances of digital technologies, we understand how connective affordances of digital technologies enable a collective approach to digital entrepreneurship.

We do so through an interpretive field study of South African digital entrepreneurs operating in resource-constrained settings.

The findings highlight how entrepreneurs appropriate digital technologies in collectives to achieve connective actions and cooperate and compete simultaneously, giving rise to what we call coopetitive affordance, reflecting a fresh perspective on coopetition in increasingly digital and resource-constrained realities.

This paper extends the connective affordance perspective by illustrating how the concept of coopetitive affordance brings to light how contextual conditions create a humanitarian bond between entrepreneurs and a digital bond created by their appropriation of digital technologies in collectives.

The purpose of this paper is to conceptualize the indigenous concept of suzhi at individual and organizational levels, and identify its dimensions for human resource management (HRM) research and practice in China.

Based on a comprehensive review of suzhi literature, Chinese cultural and historical literature, as well as Western mainstream HRM research, a multidimensional suzhi framework is conceptualized.

As an indigenous expression, suzhi can be and has been adopted for Chinese HRM research and practice. As a multidimensional construct, one’s cognitive suzhi is jointly determined by corresponding moral suzhi, wenhua (knowledge-based) suzhi and zhuanye (professional) suzhi. Cognitive suzhi, in turn, determines one’s behavioral suzhi that drives employees to enhance organizational performance, and this relationship is moderated by psychological suzhi.

The proposed framework provides new insight for Chinese indigenous management research, particularly in developing suzhi measurement for different dimensions. It also informs HRM practices in recruiting, selection, performance analysis and employee career development.

The complexity of suzhi dimensions from an organizational HRM perspective is analyzed. The resulting suzhi framework offers new insight for HRM research and practices in China.

The earth-sheltered building is an adaptive strategy reducing energy consumption as well as increasing thermal comfort of the residents. Although this idea historically implemented in the city of Yazd, Iran, its effects on thermal comfort have not been studied thoroughly. This paper aims to discuss and analyze energy performance, in terms of parameters such as orientation, underground depth, nocturnal ventilation and its subsequent effects on thermal comfort in earth-sheltered buildings in Yazd.

Using EnergyPlus software, the obtained numeric data are precisely modeled, simulated and analyzed.

Results show that there is a direct relationship between depth of construction and energy consumption savings. The more construction depth of earth-sheltered buildings, the more percentage of energy consumption savings, that is of a higher rate in comparison to the aboveground ones. However, in south orientation, energy saving significantly reduces from depth of 2 m downwards and the annual indoor temperature fluctuation decreases by 50%. This subsequently yields to experiencing indoor thermal comfort for a significant number of days throughout the year. Considering the effects of orientation factor, the south orientation regardless of the depth provides the most desired outcome regarding energy savings.

Simulating the model generalized to the sunken courtyard can approve that the results of this research can be applied to the other models.