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The aim of this paper is to analyse the spillover effects of microcredit on the economy of Ecuador, with a particular focus on its potential as a poverty alleviation mechanism.

To address our research questions, we take into account the distance between cantons (Ecuador’s own administrative distribution) by adopting a spatial autoregressive (SAR) model. To this end, a database will be constructed with macroeconomic information about the country, broken down by canton (administrative division of Ecuador), and in a 2019 cross section, with a total of 1,331 microcredit operations in all 221 of Ecuador’s cantons.

We find a positive effect of microcredit on these neighbouring regions in terms of wealth generation.

We acknowledge that this study is limited to Ecuadorian cantons. Nonetheless, it is crucial to emphasize that focussing on an under-represented developing country like Ecuador adds significant value to the research.

Facilitating access to microcredit is one of the main solutions to address the goals proposed in the sustainable development goals (SDGs).

Microcredit activity contributes to the creation of value and wealth in Ecuador, exerting a spillover effect in neighbouring areas that can generate positive multiplier effects and alleviate poverty. For all of the above reasons, our proposal for the country is to support and promote microcredit as one of the main solutions to address the goals proposed in the SDGs.

The novelty of this study lies in the use of spatial econometrics to observe the indirect effects of microcredit on the regions bordering the canton in which it was issued, thus examining the spatial effects of microcredit on wealth distribution.

This study aims to report business preferences for achieving net-zero power production emissions in Saskatchewan, Canada as well as business perceptions of the most preferable power production sources, barriers to change and suggestions for improvement. Mixed methods included focus groups and a survey with experimental design. This research demonstrates that this method of advancing academic and business knowledge systems can engender a paradigmatic shift to decarbonization.

The study is a mixed-methods study using five focus groups and a survey which included a 15-min information video providing more information on power production sources (small modular reactors and biomass). Participants requested more information on these topics in the initial three focus groups.

There is a significant gap in Canadian Government targets for net-zero emissions by 2050 and businesses’ plans. Communications, knowledge and capacity gaps identified include lack of regulatory requirements, institutional barriers (including a capacity charge in the event a business chooses to self-generate with a cleaner source) and multi-level governance dissonance. More cooperation between provincial governments and the federal government was identified by participants as a requirement for achieving targets. Providing information to survey respondents increased support for clean and renewable sources, but gender and knowledge are still important characteristics contributing to support for different power production sources. Scientists and teachers were the most trusted sources of information. Power generated from small modular nuclear reactors was identified as the primary future source of power production followed by solar, wind and natural gas. Research results also confirmed the high level of support for hydropower generated in Saskatchewan versus import from Manitoba based on high values of energy solidarity and security within the province.

This study is original, as it concerns upstream system power production portfolios and not failed projects; the mixed-method research design including a focus group and an experimental survey is novel. This research partially addresses a gap in knowledge surrounding which knowledge systems advance paradigmatic shifts and how and whether involving business people in upstream power production decisions can inform decarbonization.

People seem to function according to different models, which implies that in business and social sciences, heterogeneity is a rule rather than an exception. Researchers can investigate such heterogeneity through multigroup analysis (MGA). In the context of partial least squares path modeling (PLS-PM), MGA is currently applied to perform multiple comparisons of parameters across groups. However, this approach has significant drawbacks: first, the whole model is not considered when comparing groups, and second, the family-wise error rate is higher than the predefined significance level when the groups are indeed homogenous, leading to incorrect conclusions. Against this background, the purpose of this paper is to present and validate new MGA tests, which are applicable in the context of PLS-PM, and to compare their efficacy to existing approaches.

The authors propose two tests that adopt the squared Euclidean distance and the geodesic distance to compare the model-implied indicator correlation matrix across groups. The authors employ permutation to obtain the corresponding reference distribution to draw statistical inference about group differences. A Monte Carlo simulation provides insights into the sensitivity and specificity of both permutation tests and their performance, in comparison to existing approaches.

Both proposed tests provide a considerable degree of statistical power. However, the test based on the geodesic distance outperforms the test based on the squared Euclidean distance in this regard. Moreover, both proposed tests lead to rejection rates close to the predefined significance level in the case of no group differences. Hence, our proposed tests are more reliable than an uncontrolled repeated comparison approach.

Current guidelines on MGA in the context of PLS-PM should be extended by applying the proposed tests in an early phase of the analysis. Beyond our initial insights, more research is required to assess the performance of the proposed tests in different situations.

This paper contributes to the existing PLS-PM literature by proposing two new tests to assess multigroup differences. For the first time, this allows researchers to statistically compare a whole model across groups by applying a single statistical test.

In a supply-constrained region like Asia, promoting exports has always been a challenge particularly at a time when Asia’s trade has been severely affected by lack of external demand. This paper argues that price barriers have taken a new shape during the global financial crisis period which may generate differential impacts on trade flows as we proceed toward recovery. The size and shape of price barriers would be higher if NTBs, applied by the countries during the crisis period, were counted. One of the conclusions of this paper is that ‘price’ barrier is still more important than ‘non-price’ barrier in enhancing Asia’s trade and integration. The higher the price barrier between countries in a pair, the less they trade. In other words, a 10 percent increase in the ad-valorem price (transport and tariff) lowered trade by 6 percent. Tariff and transport costs, each considered separately, also influence the trade flow in the same direction, to more or less the same extent. There are indications of huge domestic infrastructure bottlenecks in countries in Asia. Based on direct and indirect evidence related to trade barriers, this paper concludes that complementary trade policies focusing on price and non-price barriers have immense importance in enhancing international trade and integration in the post-crisis period.

The present study aims to assess the potential impacts of board members' characteristics, including connectedness and independence, on the level of the firm's involvement in innovation and corporate social responsibility (CSR).

Variables of board members' interlock and independence are selected for measuring the board characteristics and their association with innovation. The range of disclosure of social responsibility (SR) of the firms inside and outside the industries is also analyzed through descriptive-correlational. The selected sample includes 280 firm-years listed firms on Iraq Stock Exchange during 2012–2017 and 1,026 firm-years on the Tehran Stock Exchange. The hypotheses are examined using multivariate regression models and panel data.

The observations show that board interlock and independence in both countries are willing to improve firms' innovation. Moreover, having controlled the industry index, the authors find that business environment innovation is willing to be transmitted into the firms through outside industry sources in Iran. In the Iraq country, regardless of industry index, the positive association between interlocked boards and firm innovation is established. Further analyses also articulate that board interlock is not considered a mechanism to transmit information and experiences about CSR activities.

This paper is a pioneer study to assess the relationship between board member characteristics and the firms' innovation and SR both in Iran and Iraq. Also, it extends the literature by considering the industry index as a significant source of knowledge and experience to gain more precise results. Therefore, the current paper may contribute to the development of knowledge in this field of study.

本研究擬評估董事會成員的特性 (這包括其連通性及自主性) ，如何潛在地影響公司投入創新和承擔企業社會責任的程度。

董事會成員的相互扣連和自主獨立這些變數、被挑選來量度董事會的特性以及其與創新的關聯。本研究亦以描述性關連性研究法、來分析和透視公司在企業內外參與企業社會責任的範圍。被挑選的研究樣本包括於2012年至2017年間在伊拉克股票交易所280公司年上市公司，以及在德黑蘭股票交易所1026公司年。各假設均以多變量迴歸模型和縱橫資料來作分析研究。

觀察的結果、證明在這兩個國家，富連通性和自主性的董事會均樂意改善公司的創新；而且，我們在控制行業指數後，發現在伊朗、企業環境創新會積極地透過外部行業資源訊息而發送至公司。在伊拉克，相互扣連的董事會與公司創新之間的正面關聯得到確立。而這關聯是不受行業指數影響的。而且，進一步的分析、明確顯示董事會的相互扣連不被認為是一個發送關於企業社會責任的資訊或經驗的機制。

本研究乃為先鋒研究、來評估在伊朗和伊拉克兩地董事會成員的特性，與公司創新和企業社會責任之間的關係。再者，本研究使有關的文獻得以伸延，方法是把行業指數當作是一個能提供更準確的研究結果的知識和經驗的重要來源；因此，本研究會為有關的研究領域、提供更多知識。

Process redesign refers to the intentional change of business processes. While process redesign methods provide structure to redesign projects, they provide limited support during the actual creation of to-be processes. More specifically, existing approaches hardly develop an ontological perspective on what can be changed from a process design point of view, and they provide limited procedural guidance on how to derive possible process design alternatives. This paper aims to provide structured guidance during the to-be process creation.

Using design space exploration as a theoretical lens, the authors develop a conceptual model of the design space for business processes, which facilitates the systematic exploration of design alternatives along different dimensions. The authors utilized an established method for taxonomy development for constructing the conceptual model. First, the authors derived design dimensions for business processes and underlying characteristics through a literature review. Second, the authors conducted semi-structured interviews with professional process experts. Third, the authors evaluated their artifact through three real-world applications.

The authors identified 19 business process design dimensions that are grouped into different layers and specified by underlying characteristics. Guiding questions and illustrative real-world examples help to deploy these design dimensions in practice. Taken together, the design dimensions form the “Business Process Design Space” (BPD-Space).

Practitioners can use the BPD-Space to explore, question and rethink business processes in various respects.

The BPD-Space complements existing approaches by explicating process design dimensions. It abstracts from specific process flows and representations of processes and supports an unconstrained exploration of various alternative process designs.