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This paper presents an evaluation of several types of neural networks for object recognition by means of ultrasonic sensors. Initially, in order to obtain information from the ultrasonic signal, a parametric method is proposed and a set of features is extracted from the ultrasonic echo envelope. Then, it is necessary to evaluate how much information is provided for each characteristic obtained. Therefore, it has been necessary to carry out an analysis in order to detect the most relevant features. Results about information provided for each feature are presented by order of preference. Subsequently, using these features extracted from the echo signal, an experimental set‐up has been carried out in order to highlight the capabilities of different types of neural networks with this information. Finally, results obtained from experimental tests are presented, and the pattern recognition capabilities of each neural network type, using the selected features, are shown.

Entrepreneurship is recognized by many as a solution to environmental and social challenges of today’s society. However, it has also been criticized since it may maintain the capitalistic demands of growth and efficiency in an unsustainable way. In this chapter, we challenge the current conception of entrepreneurship that aims for societal change by tracing what, how, where, and with whom such entrepreneurship is performed. Furthermore, we take inspiration from the idea of diverse economy by Gibson-Graham and introduce the concept of alternative entrepreneurship to explore how it takes shape, changes its contours, and both challenges and propels contemporary capitalism. In this chapter, we present three ethnographic cases of the unfolding of diverse entrepreneurial activities: (1) the case of Oria, who contributes to social justice through fair trade; (2) the case of artisan food producers who contribute to biological diversity and a rural livelihood; and (3) the case of the DiE project/NEEM NGO, which contributes to social inclusion through entrepreneurial empowerment and the development of a microcredit program. We find that the alternative entrepreneurs are not constrained by organizational forms or by a limited number of economic and non-economic activities that target societal challenges. The alternative entrepreneurs move between different organizational forms such as non-profit and for profit, as well as, undertaking business and voluntary practices to achieve societal change. Finally, we conclude that the ethnographic tracing of alternative entrepreneurship allows previously unsighted activities to become more visible and brings attention to possibilities of creatively destroying overly narrow conceptions of entrepreneurship.

During the past decades, several researchers have introduced devices that use sonar systems to detect and/or to determine the object location or to measure the distance to an object using reflected sound waves. The purpose of this paper is to use sonar sensor with textile structure and to test it for detection of objects.

In this study, a sonar system based on intelligent textiles approach for detection of objects has been developed. In order to do this, ultrasonic sensor has been integrated to textile structures by using conductive yarns. Furthermore, an electronic circuit has been designed; PIC 16F877 microcontroller unit has been used to convert the measured signal to meaningful data and to assess the data. The algorithm enabling the objects detection has also been developed. Finally, smart textile structure integrated with ultrasonic sensor has been tested for detection of objects.

Beam shape is presented related to identified object and compared with the actual one given in sensor's datasheet in order to test the efficiency of the proposed method of detection. The achieved results showed that the determined beam pattern matches with the actual one given in its datasheet. Therefore, it can be concluded that the integration of sensor was successful.

This is the first time in the literature that a sonar sensor was integrated into textile structure and tested for detection of objects.

Recent studies have questioned the direct relationship between entrepreneurial orientation (EO) and firm performance (e.g., Rauch, Wiklund, Lumpkin, & Frese, 2009; Wales, Gupta, & Mousa, 2013). Following this stream of research, this study examines this relationship by identifying the intermediate steps between these two variables (Alegre & Chiva, 2013; Wales, 2016; Zahra, Sapienza, & Davidsson, 2006). EO is considered essential for new market entry and new business foundation, which is why this study focuses on startups. Startups search for viable business opportunities, and this search is highly dependent on organizational learning (Kreiser, 2011). Previous studies suggest that organizational learning mediates the relationship between EO and performance (e.g., Real, Roldan, & Leal, 2014; Wang, 2008). This study investigates the role of organizational learning in this relationship by analyzing how EO and absorptive capacity (AC) interact. We propose a more direct and fine-grained measure of entrepreneurial success by developing a conceptual model that includes opportunity identification as an early outcome measure for startups. Drawing on a sample of 95 academic spin-offs in the Netherlands, this study examines the mediating role of AC and market readiness in the relationship between EO and market opportunities. The findings indicate that AC and market readiness mediate the direct effect of EO on market opportunity identification. By using opportunity identification as an outcome measure for EO, this study adopts a more direct measure for firm performance, resonating with recent discussions on the main effect of EO for organizations. These findings suggest that academic spin-offs’ AC leads entrepreneurial efforts to achieve a better product-market fit, and in return, helps to identify more market opportunities.

This study aims to clarify the direct impact of digitalization on export performance (EP) by synthesizing previous research and testing this relationship empirically. Furthermore, the study investigates digitalization types, contextual moderators and method moderators affecting the impact of digitalization on EP.

The study uses meta-analysis to test the digitalization–EP relationship (k = 81) using data from 106 independent samples involving 62,082 respondents across nearly 30 countries.

The study finds digitalization’s positive and significant effect on EP (r = 0.36). The impact of digitalization on EP is also subject to different moderators, including digitalization type (i.e. digital capabilities), contextual factors (i.e. institutions, export experience, development of the region and industry) and method factors (i.e. back translation and strategy measurement).

Scholars have initiated studies on the impacts of diverse digitalization types on EP, while empirical findings on these effects remain inconclusive. Based on resource-based theory, the study develops and validates a comprehensive meta-analytic framework, revealing the important influence of digitalization on EP. The moderator findings further highlight the impact of internal and external contingencies on the outcomes of exporting firms’ digitalization.

Drawing from resource orchestration theory, this research proposed an integrative model that leverages insights into counter resource constraints and uncertainty in start-up business model innovation (BMI). It investigated the influences of entrepreneurial networks and effectuation on BMI through bricolage in uncertain environments.

The research surveyed 481 start-ups in China. LISREL 8.80 and SPSS 22.0 were employed to test the validity and reliability of key variables, respectively. Additionally, hypotheses were examined through multiple linear regression.

First, entrepreneurial networks and effectuation were positively related to BMI, and combining these two factors improved BMI for start-ups. Second, bricolage contributed to BMI and played mediating roles in translating entrepreneurial networks and effectuation into BMI. Third, environmental uncertainty weakened the linkage between bricolage and BMI.

Future research should replicate the results in other countries because only start-ups in China were investigated in the study, and it is necessary to extend this research by gathering longitudinal data. This research emphasized the mediating effects of bricolage and the moderating influence of environmental uncertainty, and new potential mediating and moderating factors should be explored between resources and BMI.

There are three significant theoretical contributions. First, the findings enrich the literature on the complex antecedents of BMI by combining the impacts of entrepreneurial networks and effectuation. Second, an overarching framework is proposed explaining how bricolage (resource management) links entrepreneurial networks and effectuation and BMI. Third, it demonstrates the significance of environmental uncertainty in the bricolage–BMI linkage, deepening the understanding of the bricolage boundary condition.

Investigates urban bias in state policy making in Mexico. Refers to literature claiming that rural poverty in developing nations is a major problem because capitalism reflects an urban bias. Examines social security coverage for the rural poor in Mexico and notes that there are great variations depending on area, suggesting that social security coverage is politically negotiable. Outlines briefly the historical development of Mexico’s welfare state and uses a power resource model to demonstrate how groups with competing interests go about securing benefits from the state. Cites literature on dependency theory, indicating that rural groups have failed to mobilize politically and have therefore not secured the same state resources (such as social security benefits and housing) as urban groups, yet argues that this does not always apply in Mexico, partially due to party politics and bureaucratic paternalism. Explains how data was collected to examine regional variations in social security coverage among the rural poor and how the data was analysed. Reveal that workers in important international export markets (such as cotton and sugar) have greater political leverage in obtaining better social security benefits. Notes also that areas supporting the political party in power obtain better benefits. Concludes, therefore, that rural workers are not powerless in the face of urban capitalism and that urban bias and dependency theories do not reflect the situation in Mexico – rather social security benefits are politically negotiable.

The purpose of this study is to understand the strategic roles of service customer equity (SCE) and innovation protection on firm performance (FP).

Structural equation modeling (SEM) was used to test the proposed model. The authors tested the model using managerial data from two countries: USA and India.

The findings of this study indicated positive direct impacts of service innovation (SI) on FP and positive indirect impacts via SCE in both samples. SI and SCE impacts on FP were both stronger in the US samples. However, the effect of SI on SCE is stronger in India than in the USA. This study also identified moderating impacts of service innovation protection (SIP) on the relationship between SI and FP in the Indian sample and between SI and SCE in the US sample.

Although there is scholarly research in SI and its impact on FP, there are no studies the authors identified that discuss the moderating effect of SIP. The authors studied the moderating effect of SIP because (1) it is crucial for industries to maintain a competitive advantage in the marketplace, (2) it protects industries investment in research and development and (3) it also protects industries intellectual property, such as trademark, copyrights and patents. There are two key contributions of this study: (a) investigating the effect of SCE between SI and FP and (b) investigating the moderating effect of SIP using managerial data from two countries (USA vs India).

Organisational slack has been widely considered in strategic management, but there is a gap in understanding the process of accumulation and application of slack resources. From a dynamic perspective and over an extended period of time, this paper analyses the management of slack resources and evaluates whether the different behaviours, in relation to the accumulation and consumption of slack resources, have any effect on performance.

The resource-based view and the dynamic extension of this theory, i.e. resource management and resource orchestration, were analysed in order to evaluate how slack resources can be managed and generate value. Assuming a configurational approach, the analysis was structured into two stages to answer the proposed hypothesis. The first stage studied whether there were different patterns of management of slack resources over time using the DistatisR package. The second stage evaluated which behaviours had the greatest impact in terms of profitability by using a dynamic panel data regression.

Three different types of slack resource management were found in companies: efficient, effective and erratic. Different types do not have the same impact on performance.

The dynamic management of slack resources has scarcely been considered, even during periods of crisis and economic expansion. This research advances the understanding of how firms transform slack resources into performance from a dynamic perspective.