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Agriculture commodity price forecasts have long been important for a variety of market players. The study we conducted aims to address this difficulty by examining the weekly wholesale price index of green grams in the Chinese market. The index covers a ten-year period, from January 1, 2010, to January 3, 2020, and has significant economic implications.

In order to address the nonlinear patterns present in the price time series, we investigate the nonlinear auto-regressive neural network as the forecast model. This modeling technique is able to combine a variety of basic nonlinear functions to approximate more complex nonlinear characteristics. Specifically, we examine prediction performance that corresponds to several configurations across data splitting ratios, hidden neuron and delay counts, and model estimation approaches.

Our model turns out to be rather simple and yields forecasts with good stability and accuracy. Relative root mean square errors throughout training, validation and testing are specifically 4.34, 4.71 and 3.98%, respectively. The results of benchmark research show that the neural network produces statistically considerably better performance when compared to other machine learning models and classic time-series econometric methods.

Utilizing our findings as independent technical price forecasts would be one use. Alternatively, policy research and fresh insights into price patterns might be achieved by combining them with other (basic) prediction outputs.

The human resource and talent management fields have been increasingly focusing on the process and criteria to identify employees’ potential for career advancement due to their impact on the competitive advantage of organizations. This paper expands the extant theoretical and empirical evidence regarding these complex decisions, namely through the combined analysis of multidimensional sources of employees' capital.

This is a cross-sectional study. Data were collected from 384 individuals assessed by their line managers. The research model and hypotheses were tested using structured equation modeling.

The results show a positive and significant influence of four employees’ capital sources, namely: human capital (what you know), social capital (whom you know), psychological capital (who you are) and reputational capital (how others perceive us) with regard to judgments of potential for career advancement. The model explains 52% of the total variance in those judgments.

The data were collected using a questionnaire at a single point in time and thus, not allowing cause-effect inferences.

The results provide guidance to organizational leaders to improve the decision-making process regarding judgments of potential for career advancement.

To our knowledge, this is the first study to examine managers’ judgments regarding the potential for career advancement using four sources of employees' capital: human, social, psychological and reputational capital. Furthermore, it considers that reputation plays a mediation role.

:在人力資源和人才管理的領域裡,越來越多的焦點被放在找出員工職業發展所需潛能的過程和標準上,這是因為機構和組織的競爭優勢會受其影響。本文擬擴展關於這類複雜的判斷和決定的現存理論和經驗證據; 研究人員使用的方法為對員工資本的多維來源進行綜合分析。

:本研究為橫斷面研究。數據來自384 名受其直線經理評估的個別員工; 研究人員使用了結構方程模型,去測試其研究模型和各個假設。

:研究結果顯示,就員工職業發展所需潛能的判斷而言,存在著會帶來正面和重大影響的四個員工資本來源,這包括人力資本 (你所瞭解的事物) 、社會資本 (你所認識的人物) 、心理資本 (你是誰) 和聲譽資本 (我們予人的印象) 。有關的模型可說明判斷百分之五十二的總方差。

:由於數據的收集是於單一時間點和透過問卷調查而完成的,故未能收因果推斷的效果。

:研究結果給予組織領袖實際的指引,使他們在關於職業發展所需潛能的判斷上，能夠改善其決策的過程。

:就我們所知,本研究為首個研究、以四個員工資本來源,即人力資本、社會資本、心理資本和聲譽資本,去探討經理如何就職業發展所需的潛能作出判斷; 而且，本研究認為聲譽是扮演著調節角色的。

Network analysis is a well consolidated research area in several disciplines. Within management and organizational studies, network scholars consolidated a set of research practices that allowed ease of data collection, high inter case comparability, establishment of nomological laws and commitment to social capital motivation. This paper aims to elicit the criticism it has received and highlight the unsettled lacunae.

This paper sheds light on Network Analysis’s breakthroughs, while showing how its scholars innovated by responding to critics, and identifying outstanding debates.

The paper identifies and discusses three streams of criticism that are still outstanding: the role of human agency, the meaning of social ties and the treatment of temporality.

This paper brings to fore current debates within the Network Analysis community, highlighting areas where future studies might contribute.

The purpose of this study is to examine the impact of economic growth, trade openness and manufacturing on CO2 emissions in India.

The study employed autoregressive distributive lag (ARDL) bounds test approach and uses CO2 emissions, trade, manufacturing and GDP per capita to examine the relationship using an annual time series data from World Development Indicators during 1971 to 2016.

Results depict that there exists a long-run relationship between CO2 emissions and other variables. Trade openness significantly reduces CO2 emissions, whereas manufacturing and GDP have a significant and positive impact on CO2 in the long run.

The findings of the study contribute to the body of knowledge by providing new evidence on the relationship between developmental metrics and the environment. These findings are critical for policymakers and regulatory bodies to focus on economic development without jeopardizing environmental degradation.

In order to keep its commitment to sustainability, India needs to develop policies that encourage cleaner production methods and establishment of non-polluting industries. Simultaneously, it must disincentivize industries that emit CO2 by policy frameworks such as carbon taxes, pollution taxes or green taxes.

None of studies examine at how these environmental factors interact in India. Kilavuz and Dogan (2020) used the same variables, but their scope was limited to Turkey. As a result, the study is the first to examine this relationship for India, contributing to the body of knowledge on economic growth, manufacturing, trade openness and environmental concerns.

This paper aims to share the University of Strathclyde’s experience of embedding research-based education for sustainable development (RBESD) within its undergraduate curricula through the use of an innovative pedagogy called Vertically Integrated Projects (VIP), originated at Georgia Institute of Technology.

This paper discusses how aligning VIP with the SDG framework presents a powerful means of combining both research-based education (RBE) and education for sustainable development (ESD), and in effect embedding RBESD in undergraduate curricula.

The paper reports on the University of Strathclyde’s practice and experience of establishing their VIP for Sustainable Development programme and presents a reflective account of the challenges faced in the programme implementation and those envisaged as the programme scales up across a higher education institution (HEI).

The paper is a reflective account of the specific challenges encountered at Strathclyde to date after a successful pilot, which was limited in its scale. While it is anticipated these challenges may resonate with other HEIs, there will also be some bespoke challenges that may not be discussed here.

This paper offers a practical and scalable method of integrating SDG research and research-based education within undergraduate curricula.

The paper has the potential to deliver SDG-related impact in target communities by linking research-based teaching and learning with community outreach.

The alignment of VIP with the SDG research area is novel, with no other FE institutions currently using this approach to embed SDG research-based teaching within their curricula. Furthermore, the interdisciplinary feature of the VIP programme, which is critical for SDG research, is a Strathclyde enhancement of the original model.

With increasing marine resource development, the rapid development of the marine economy, and the continuous decline of the marine natural resource system, the contradiction between marine resources and economic development is becoming increasingly acute. The study of marine resources and economic development has become a hot and challenging issue in marine resource economics research in recent years. The purpose of this study is to analyze the current situation of marine resources and to realize the sustainable use of marine resources.

This study systematically reviews and analyzes the current status of research on marine resources and economic development issues in four main aspects: marine resource management, marine resources and economic growth, marine resources and economic security, and marine resource accounting in the field of marine resource economics.

It is found that compared to the current status of research on land-based resources and economic development, there is a significant lag in both theoretical construction and methodological innovation in marine resources and economic development.

The purpose of this study is to systematically grasp the current status of marine resources research, promote the coordinated development of marine resources and economic growth, and then realize the safe and sustainable development and utilization of marine resources.

Factor analysis is the most used tool in organizational research and its widespread use in scale validations contribute to decision-making in management. However, standard factor analysis is not always applied correctly mainly due to the misuse of ordinal data as interval data and the inadequacy of the former for classical factor analysis. The purpose of this paper is to present and apply the Bayesian factor analysis for mixed data (BFAMD) in the context of empirical using the Bayesian paradigm for the construction of scales.

Ignoring the categorical nature of some variables often used in management studies, as the popular Likert scale, may result in a model with false accuracy and possibly biased estimates. To address this issue, Quinn (2004) proposed a Bayesian factor analysis model for mixed data, which is capable of modeling ordinal (qualitative measure) and continuous data (quantitative measure) jointly and allows the inclusion of qualitative information through prior distributions for the parameters’ model. This model, adopted here, presents considering advantages and allows the estimation of the posterior distribution for the latent variables estimated, making the process of inference easier.

The results show that BFAMD is an effective approach for scale validation in management studies making both exploratory and confirmatory analyses possible for the estimated factors and also allowing the analysts to insert a priori information regardless of the sample size, either by using the credible intervals for Factor Loadings or by conducting specific hypotheses tests. The flexibility of the Bayesian approach presented is counterbalanced by the fact that the main estimates used in factor analysis as uniqueness and communalities commonly lose their usual interpretation due to the choice of using prior distributions.

Considering that the development of scales through factor analysis aims to contribute to appropriate decision-making in management and the increasing misuse of ordinal scales as interval in organizational studies, this proposal seems to be effective for mixed data analyses. The findings found here are not intended to be conclusive or limiting but offer a useful starting point from which further theoretical and empirical research of Bayesian factor analysis can be built.

It is becoming increasingly important for leaders to recognize and develop the skills needed to interact with diverse others (Karim, 2003). To this end, several leadership programs in American colleges and universities offer courses that explore the practice of multicultural leadership (Brungardt, Greenleaf, Brungardt, & Arensdorf, 2006); our institution’s leadership program is no different in its goals of preparing culturally competent leaders. The multicultural leadership course in the Staley School of Leadership Studies at Kansas State University has two learning outcomes: “Understand the impact of cultural identity (Note that this manuscript uses the terms social identity and cultural identity interchangeably, which is common practice (Wren, 2002), life experiences, and world views on leadership relationships as it relates to privilege and inclusion,” and, “Practice inclusive leadership through advocacy for social change.” Such goals are desirable, but also lofty – how can we know if our course has had any effect on student learning toward these objectives?

Theory-informed assessment of the effects of multicultural leadership courses can meet many pedagogical needs while answering the demands of multiple stakeholders (Fink, 2006; Wholey, Hatry, & Newcomer, 2004). Knowing what changes occur in students’ attitudes or behaviors during a multicultural leadership course would permit faculty, staff, and other practitioners to evaluate whether the experience may be able to meet desired learning goals. Future courses could be recalibrated to address deficiencies or strengthen successes. Assessment data also facilitates the sharing of the course’s effects to administrators, prospective students, parents, or donors in efforts to communicate the value of intentional, curricular student leadership development.

Beyond these larger-scale needs for assessment, we have an interest in knowing to what degree the course contributes to our students’ engagement and leadership development. Assessment can help us to identify what students are learning as a result of the course. Further, we hope that sharing our assessment structure, analysis, and results can help other leadership educators strengthen a culture of assessment in their own programs, particularly concerning multicultural leadership development.

To determine if we are making progress in meeting our learning outcomes, we developed an assessment tool to determine students’ change over the course of the term across two theoretical constructs: diversity attitudes, which encapsulates the first learning goal of recognizing linkages between worldview and leadership (Bennett, 2004; Karim, 2003; Komives, Longerbeam, Owen, Mainella, & Osteen, 2006); and changes in leadership behaviors and attitudes, which speaks to the second learning goal of catalyzing social change-based leadership (Komives, Wagner, & Associates, 2009).

We use a pre-test / post-test design to compare students’ reported values at the beginning of the semester to their values upon completion of the class (Fink, 2006). By comparing pre-test and post-test responses to questions from the assessment instrument, we demonstrate in what ways our course might influence student leadership development and multicultural competence, as well as areas we might wish to consider fortifying in future iterations of the course to better meet learning objectives. We then reflect on the effect the results will have on learning outcomes, curricular development, and the instrument itself, illustrating the cyclical relationship between theory, practice, and assessment in multicultural leadership education.

We have two aims here. Our first is to articulate what gains may be made by students who engage in our course to determine what exactly is gained by students who participate in such experiences. We believe such courses have educational value, but needed to find a way to articulate our course’s success in helping students meet our stated learning objectives. Our second aim is to illustrate both the necessity, rewards, and limitations of engaging in critical engagement with the assessment-practice cycle (Maki, 2002). Here, we reflect on what changes we or others could make to our course to better achieve our desired goals, as well as how we might continue to strengthen our assessment efforts. We hope that our analysis here provides some starting points to assess multicultural leadership programs’ efficacy in meeting student learning outcomes.

In this paper the research on gender and Full-Range Leadership is documented and explored. Included is consideration of research that studied Full-Range Leadership directly as well as indirect study that contributed to the field of research on Full-Range Leadership. The paper culminates in a series of recommendations for future research. It is hoped that these will help to move the field from documenting the differences or similarities of leadership (or perceptions of leadership) between women and men, to studying why these differences might exist. Additional recommendations are included that will help transport the value of this research from the pages of scholarly journals into organizations, communities, and the workplace.