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This conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and becoming of entrepreneurial phenomena in business families and family firms.

Because of the novelty of this research stream, the authors asked 20 scholars in entrepreneurship and family business to reflect on topics, methods and issues that should be addressed to move this field forward.

Authors highlight key challenges and point to new research directions for understanding family entrepreneuring in relation to issues such as agency, processualism and context.

This study offers a compilation of multiple perspectives and leverage recent developments in the fields of entrepreneurship and family business to advance research on family entrepreneuring.

Videos of police abuse are often spread through technology, raising questions around how perceptions of police are impacted by these images, especially for 18–24-year-olds who are constantly “logged on.” Limited research investigates the impact of social media on attitudes toward police accounting for age and race. The present study utilizes 19 in-depth interviews with a diverse sample of urban college students who regularly use social media in order to understand how they have been impacted by this content. The findings suggest the necessity of using an intersectional framework to understand the impact of tech-witnessed violence. While no gender differences were uncovered, racial differences did surface. White participants described being minimally influenced by videos of police misconduct, rationalizing it as a “few bad apples.” In contrast, participants of color, except those with family members in law enforcement, described being negatively impacted. Viral content contributed to negative opinions of police, emotional distress, and fears of victimization. Ultimately, videos of police brutality do not impact young populations equally. Instead, they are comparatively more harmful to young people of color who spend more time on social media, can envision themselves as the victims, and experience feelings of fear, despair, and anger after watching these videos.

This study explores whether metacognitive strategy training can influence the lexical knowledge of L2 learners of the present study, and what they think about the use of metacognitive strategies in language learning classes. To do so, a 50-item multiple-choice vocabulary test, developed by the researchers based upon Nation’s (1990) levels of language proficiency, was employed to measure the learners’ vocabulary knowledge progress during the period of instruction. The instruction received by the experimental group was based on the Cognitive Academic Language Learning Approach (CALLA) Model, developed and validated by Chamot and O’Malley (1994). The findings revealed that the experimental group outperformed the control group in their endeavors for comprehending and producing vocabulary. This may be attributed to the fact that after this intervention, participants have developed their metacognitive awareness and their thinking skills. The study concludes with pedagogical implications and highlights avenues for future research.

ﺗ مّ د ﻣ ﺞ ا ﺳ ﺗ ر ا ﺗ ﯾ ﺟ ﯾ ﺎ ت ﻣ ﺎ و ر ا ء ا ﻟ ﻣ ﻌ ر ﻓ ﯾ ﺔ (MS) ، ا ﻟ ﺗ ﻲ ﺗ ﻌ ﺗ ﺑ ر ا ﻟ ﻔ ﺋ ﺔ ا ﻟ ﻔ ر ﻋ ﯾ ﺔ ا ﻟ ر ﺋ ﯾ ﺳ ﯾ ﺔ ﻻ ﺳ ﺗ ر ا ﺗ ﯾ ﺟ ﯾ ﺎ ت ﺗ ﻌ ﻠّ م ا ﻟ ﻠّ ﻐ ﺔ ﻓ ﻲ ﻣ ﻧ ﺎ ھ ﺞ ﺗ ﻌ ﻠّ م ا ﻟ ﻠّ ﻐ ﺔ ا ﻷ ﺟ ﻧ ﺑ ﯾ ﺔ ﻟ ﺗ ﺳ ﮭ ﯾ ل ا ﻟ ﺗ ﻔ ﻛ ﯾ ر ا ﻟ ﻌ ﺎ ﻟ ﻲ و ا ﻟ ﺗ ﺧ ط ﯾ ط ا ﻟ ذ ا ﺗ ﻲ و ا ﻟ ﺗ ﻌ ﻠّ م ا ﻟ ﻣ ﺳ ﺗ ﻘِّل و ا ﻟ ﺗ ﻌ ﻠ م ا ﻷ ﻓ ﺿ ل ﻓ ﻲ ﻧ ﮭ ﺎ ﯾ ﺔ ا ﻟ ﻣ ط ﺎ ف . و ﻓ ﻘًﺎ ﻟ ذ ﻟ ك ، ﺗ ﻌ دّ ھ ذ ه ا ﻟ دّر ا ﺳ ﺔ ﻣ ﺣ ﺎ و ﻟ ﺔً ﻟ ﻺ ﺟ ﺎ ﺑ ﺔ ﻋ ﻣ ﺎ إ ذ ا ﻛ ﺎ ن ا ﻟ ﺗ د ر ﯾ ب ﻋ ﻠ ﻰ ا ﺳ ﺗ ر ا ﺗ ﯾ ﺟ ﯾ ﺔ ﻣ ﺎ و ر ا ء ا ﻟ ﻣ ﻌ ر ﻓ ﻲ ﯾ ﻣ ﻛ ن أ ن ﯾ ؤ ﺛّ ر ﻋ ﻠ ﻰ ا ﻟ ﻣ ﻌ ر ﻓ ﺔ ا ﻟ ﻣُﻌ ﺟ ﻣ ﯾ ﺔ ﻟ ﻠ ﻣ ﺗ ﻌ ﻠ ﻣ ﯾ ن و ﻣ ﺎ ذ ا ﯾ ﻔ ﻛّر ﻓ ﯾ ﮫ ا ﻟ ﻣ ﺗ ﻌ ﻠّ ﻣ و ن ﺣ ول ﺗ د ر ﯾ س ا ﺳ ﺗ ر ا ﺗ ﯾ ﺟ ﯾ ﺎ ت ﻣ ﺎ و ر ا ء ا ﻟ ﻣ ﻌ ر ﻓ ﯾ ﺔ . و ﻟ ﻠ ﻘ ﯾ ﺎ م ﺑ ذ ﻟ ك ، ﺗ مّ ا ﺳ ﺗ ﺧ د ا م ا ﺧ ﺗ ﺑ ﺎ ر ﻣ ﻛ و ن ﻣ ن 50 ﻋ ﻧ ﺻ ر اً ﻣ ﺗ ﻌ د د ا ﻻ ﺧ ﺗ ﯾ ﺎ ر ا ت ا ﻟّ ذ ي ﺗ مّ ﺗ ط و ﯾ ر ه ﺑ و ا ﺳ ط ﺔ ا ﻟ ﺑ ﺎ ﺣ ﺛ ﯾ ن ا ﺳ ﺗ ﻧ ﺎ دًا إ ﻟ ﻰ ﻣ ﺳ ﺗ و ﯾ ﺎ ت ا ﻟ ﻛ ﻔ ﺎ ء ة ا ﻟ ﻠ ﻐ و ﯾ ﺔ ﻟ د ى ا ﻟ ﺷ ﻌ ب (Nation) (1990 م ( ، ﻟ ﻘ ﯾ ﺎ س ﺗ ط وّ ر ﻣ ﻌ ر ﻓ ﺔ ا ﻟ ﻣ ﻔ ر د ا ت أ ﺛ ﻧ ﺎ ء ﻓ ﺗ ر ة اﻟ ﺗد ر ﯾ س . ا ﺳ ﺗ ﻧ د ت ا ﻟ ﺗ ﻌ ﻠ ﯾ ﻣ ﺎ ت ا ﻟ ﺗ ﻲ ﺗ ﻠ ﻘّﺗ ﮭ ﺎ ا ﻟ ﻣ ﺟ ﻣ و ﻋ ﺔ ا ﻟ ﺗ ﺟ ر ﯾ ﺑ ﯾ ﺔ إ ﻟ ﻰ ﻧ ﻣ و ذ ج ﻣ ﻧ ﮭ ﺞ ا ﻟ ﺗ ﻌ ﻠ م ا ﻟ ﻣ ﻌ ر ﻓ ﻲ ا ﻷ ﻛ ﺎ د ﯾ ﻣ ﻲ ) CALLA ( ا ﻟ ذّي أ ﻋ دّه و و ا ﻓ ق ﻋﻠ ﯾ ﮫ ﺷﺎ ﻣو ت وأ وﻣﺎﻟ ﻲ ) 1994 ( . ﻛ ﺷ ﻔ ت ا ﻟ ﻧ ﺗ ﺎ ﺋ ﺞ أ نّ ا ﻟ ﻣ ﺟ ﻣ و ﻋ ﺔ ا ﻟ ﺗ ﺟ ر ﯾ ﺑ ﯾ ﺔ ﺗ ﻔ و ﻗ ت ﻋ ﻠ ﻰ ا ﻟ ﻣ ﺟ ﻣ و ﻋ ﺔ ا ﻟ ﺗ ﺣ ﻛ ﻣ ﯾ ﺔ ﺑ ﺎ ﻟ ﻧّﺳ ﺑ ﺔ ﻟ ﻔ ﮭ م و إ ﻧ ﺗ ﺎ ج ا ﻟ ﻣ ﻔ ر د ا ت . ﻣن اﻟ ﻣﻣﮑن أ ن ﯾﻌود ذ ﻟ ك إ ﻟ ﻰ ﺣ ﻘ ﯾ ﻘ ﺔ أ نّ ا ﻟ ﻣ ﺗ ﻌ ﻠ ﻣ ﯾ ن ﺑ ﻌ د ھ ذ ا ا ﻟ ﻌ ﻼ ج ﯾ ﻣ ﻛ ﻧ ﮭ م ا ﻟ ﺗ ﻔ ﻛ ﯾ ر أ ﻛ ﺛ ر و ر ا ء ا ﻟ ﻣ ﻌ ر ﻓ ﯾ ﺔ و ﺗ ط و ﯾ ر ﺗ ﻘ دّم ﺗ ﻔ ﻛ ﯾ ر ھ م . ﺗ ﺧ ﺗ ﺗ م ا ﻟ دّر ا ﺳ ﺔ ﺑ ذ ﮐ ر ﺑ ﻌ ض ا ﻵ ﻓ ﺎ ق ا ﻟ ﺗ ر ﺑ و ﯾّﺔ و ﺗ ﺳ ﻠ ﯾ ط ا ﻟ ﺿّو ء ﻋ ﻠ ﻰ ﺑ ﻌ ض ا ﻟ ﺳّﺑ ل ﻟ ﻠ ﺑ ﺣ ث ﻓ ﻲ ا ﻟ ﻣ ﺳ ﺗ ﻘ ﺑ ل .

Technology uncertainty poses significant challenges to manufacturers, as rapid changes in product and/or process standards and specifications can disrupt the smooth flow of materials in extended supply chains. Practitioners and researchers alike who take a relational perspective widely regard supplier involvement as a potentially effective strategy to cope with technology uncertainty, as focal manufacturers can tap into their upstream supply networks for complementary resources and capabilities. However, the literature lacks a nuanced understanding of the supplier involvement processes. Specifically, the role of resource dependence for supplier involvement has yet to be systematically understood. To fill this gap, this study aims to combine the relational perspective with the resource-dependence perspective to explore how buyer dependence, supplier dependence and buyer–supplier interdependence influence buyers’ decision-making on tapping into upstream supply networks for coping with technology uncertainty.

To test the hypotheses, a survey is conducted among Dutch firms with more than 50 employees in the discrete manufacturing industries (ISIC 28-35), resulting in a sample of 125 manufacturers.

First, there is a significantly positive relationship between technology uncertainty and supplier involvement, giving support to the expectation that buyers are indeed involving their key suppliers in the product/process design and improvement, as a response to technology uncertainty. Second, buyer dependence and interdependence are found to be positively moderating the relationship between technology uncertainty and supplier involvement. In contrast, supplier dependence has a negative moderating effect on the baseline relationship.

The authors contribute to a relational view on buyer–supplier relationships by showing that the validity of this view, in the context of technology uncertainty, is contingent on the resource dependence between buyers and suppliers, and the authors contribute to the supply chain management literature more generally by combining a relational perspective with a resource-dependence perspective.

The findings provide several nuanced insights into the effect of resource dependence (buyer dependence, supplier dependence and interdependence) on supplier involvement for coping with technology uncertainty.

This study contributes to the supply chain management research by going beyond the benefits of supplier involvement and highlights the circumstances under which supplier involvement is likely to occur.

Background: The annual average daily traffic (AADT) data from road segments are critical for roadway projects, especially with the decision-making processes about operations, travel demand, safety-performance evaluation, and maintenance. Regular updates help to determine traffic patterns for decision-making. Unfortunately, the luxury of having permanent recorders on all road segments, especially low-volume roads, is virtually impossible. Consequently, insufficient AADT information is acquired for planning and new developments. A growing number of statistical, mathematical, and machine-learning algorithms have helped estimate AADT data values accurately, to some extent, at both sampled and unsampled locations on low-volume roadways. In some cases, roads with no representative AADT data are resolved with information from roadways with similar traffic patterns.

Methods: This study adopted an integrative approach with a combined systematic literature review (SLR) and meta-analysis (MA) to identify and to evaluate the performance, the sources of error, and possible advantages and disadvantages of the techniques utilized most for estimating AADT data. As a result, an SLR of various peer-reviewed articles and reports was completed to answer four research questions.

Results: The study showed that the most frequent techniques utilized to estimate AADT data on low-volume roadways were regression, artificial neural-network techniques, travel-demand models, the traditional factor approach, and spatial interpolation techniques. These AADT data-estimating methods' performance was subjected to meta-analysis. Three studies were completed: R squared, root means square error, and mean absolute percentage error. The meta-analysis results indicated a mixed summary effect: 1. all studies were equal; 2. all studies were not comparable. However, the integrated qualitative and quantitative approach indicated that spatial-interpolation (Kriging) methods outperformed the others.

Conclusions: Spatial-interpolation methods may be selected over others to generate accurate AADT data by practitioners at all levels for decision making. Besides, the resulting cross-validation statistics give statistics like the other methods' performance measures.

There is a recent growing interest to find a lasting intervention to rural poverty (RP) in developing countries based on farmer entrepreneurship and innovation. The purpose of this paper, therefore, is to examine the relation between entrepreneurship and RP alleviation in two resource-constrained provinces of China. This paper assesses the influence of three capabilities of farm entrepreneurs – educational, economic and socio-cultural – on farmer entrepreneurship growth and how these, in turn, impact alleviation of RP.

Household survey data comprising 363 respondents were taken from four deprived communities in two provinces of China. The paper employed structural equation modeling (SEM), using AMOS 21.0 alongside SPSS 20.0 to test the relations between the constructs.

The results show that a statistically significant and positive relation exists between entrepreneurship and RP alleviation in China. The findings of the study further reveal that qualitative growth of entrepreneurship has a stronger positive influence on RP alleviation than on quantitative growth, and socio-cultural capabilities of respondents significantly and positively affect entrepreneurial growth of farmers, rather than education and economic capabilities.

The use of data from four communities in two provinces tends to limit the ability to generalize the findings of the study. Furthermore, the survey did not collect information on non-farm entrepreneurs, making it impossible to compare the findings from farm entrepreneurs with non-farm entrepreneurs.

The findings have practical implications for policy makers in rural China toward addressing targeted RP. This paper, therefore, suggests that entrepreneurship should be pursued vigorously among farmers in rural areas of China to help solve poverty. The paper also presents a useful lesson for various stakeholders in poverty alleviation programs in other developing countries.

This paper contributes to the academic literature on the entrepreneurship–RP alleviation nexus by combining the theory of capability and SEM in the analysis of an emerging economy such as China.

Enterprise systems are commonly implemented by firms through outsourcing arrangements with software vendors. However, deriving benefits from these implementations has proved to be a challenge, and a great deal of variation has been observed in the extent of value generated for client and vendor firms. This research examines the role of co-specialization as a strategy to make the most out of outsourced enterprise systems. The authors develop hypotheses relating resource co-specialization with two indicators of success for implementation of enterprise software: (1) exchange success and (2) firm growth.

The hypotheses are tested using a unique panel data set of 175 firms adopting Advanced Planning and Scheduling (APS) software, a type of enterprise system used for managing manufacturing and logistics. The authors identify organizational factors that support co-specialization and then examine how co-specialization is associated with enterprise software implementation success, controlling for the endogenous choice to co-specialize.

The empirical results suggest that resource co-specialization is positively associated with implementation success and that the two resource co-specialization pathways that are examined complement each other in providing performance benefits.

This paper contributes to the research literature on outsourcing. The study also provides a new empirical test using a unique data set of 175 firms adopting APS Software.

This study aims at building a framework for the electronic word-of-mouth (eWOM) response under the social media environment. The elaboration likelihood model was adopted to explain how message source credibility and message appeal jointly influence the eWOM response process, while source credibility provides a central route and message appeal plays a peripheral route for information processing.

This study used a scenario design to test the decision behavior in the Facebook environment through message content manipulation. A convenience sampling method was adopted in this study. We collected 203 valid questionnaires and tested this research model with LISREL 8.8. This study used a two-stage structural equation modeling data analysis method with LISREL 8.8, by which the measurement model was assessed through confirmatory factor analysis for the reliability and validity of the research model, and the causal relationship among factors was assessed through exploratory factor analysis .

The results showed that 53% variance of eWOM responses could be explained by message source credibility and emotional message appeal from the elaboration likelihood model perspective. Message source credibility plays a central role in the social media environment. The model was further tested with a demographic profile analysis for both gender and age. It is found that a female user is influenced by both source credibility and emotional appeal, but a male user is only influenced by message source credibility. The mature age group is more responsive to eWOM messages.

The sample might not represent all social networking sites (SNS) users. The participants represent a small segment of the Facebook population around the globe. Secondly, this research design could be improved by using more recreational messages to test the effects of message appeal and message source credibility. Thirdly, the mobile phone is a type of physical product rather than an experiential product. Future studies could try to identify the same eWOM determinants with different SNS functions, for example, the inbox message function. Similarly, Facebook users are allowed to use both text and pictures to disseminate promotional messages.

This study provides an insight for SNS administrators regarding the determinants of driving more customer responses toward a message. Message source credibility and message appeal are identified as the antecedents for eWOM responses in SNS. Companies could make use of this finding to improve their marketing communication strategy in SNS. The finding can inform administrators of the importance of focusing on both customers’ psychological state and message attributes during the dissemination of promotional messages to improve the efficiency of the promotional effort. Companies aimed at receiving different types of eWOM responses in SNS may need to consider other factors for creating their promotional messages.

Previous studies have mainly identified factors influencing eWOM responses from the people-centered variables such as personal traits and social relationships. This study proposes that the eWOM response is a dual information processing process that can be explained by the ELM. When a user processes information in SNS, he follows both the central route and the peripheral route (i.e. source credibility and message appeal) which can influence the eWOM response. It is the first time that the source credibility is investigated as the central route in ELM model.