An Exploratory Literature Study into Digital Transformation and Leadership: Toward Future-Proof Middle Managers

This study aimed to obtain insight into the influence digital transformation has on future leadership behaviors and management. Up to now, most literature solely focuses on the need for strong strategic leadership to build and lead the transformation. This study was directed at future leadership behaviors and skills needed during and after digital transformation of management below senior level. An exploratory approach to review literature on digital transformation and leadership was used, inspired by the PRISMA protocol. Our findings show that digital transformation is a disruptive process that impacts the whole organization and results in new forms of working. This calls for altro-centric leadership, an other-centered leadership style. Specifically, soft skills such as empathy, humility, integrity and compassion are becoming increasingly important, as is understanding the power of digital technology. The emergence of artificial intelligence offers interesting opportunities. It could be used to handle quantifiable managerial tasks and evaluate the quantifiable part of performance, while managers focus on the soft skills side of management such as coaching, motivating and empowering employees. This study demonstrates the necessity to redefine leadership requirements in an increasingly digitalized world.

Pola Pergerakan Orang di Masa Pandemi dengan Pendekatan Eksploratif di Wilayah Kepulauan Bangka Belitung

COVID-19 has spread around the world and has given a huge impact on people's lives. One of the changes in the COVID-19 condition is the travel pattern of people. Travel patterns can be explained in terms of the flow of vehicles, passengers, and people's mobility from the origin and destination zones within a certain area and period. On the other hand, it is known that travel patterns are an essential factor in solving transportation problems. The change of travel pattern data is needed for transportation planners and policymakers in providing safe transportation during the pandemic. In addition, data on travel patterns also play an important role in determining travel restrictions in an area to reduce the spread of COVID-19. This study tries to analyze travel patterns during the COVID-19 pandemic through an exploratory approach by taking a case study in the Bangka Belitung Province. The results of this study show that the mobility was dominated by intra-island trips during the pandemic, both within Bangka Island and Belitung Island. Furthermore, during the COVID-19 pandemic, the majority of people made changes to their routine's mobility. More than 50% of people did not return to their original travel patterns even though the pandemic conditions had entered the New Normal period. The most influential factor which makes people change their mobility is to take precautions from COVID-19.

Undergraduate students’ errors on interval estimation based on variance neglect

Interval estimation is an important topic, especially in drawing conclusions on an event. Mathematics education students must possess the skill to formulate and use interval estimation. The errors of mathematics education students in formulating wrong interval estimates indicate a low understanding of interval estimation. This study explores the errors of mathematics education students in interpreting the variance in the questions regarding selecting the proper test statistic to formulate the interval estimation of mean accurately. Respondents in this study involved 36 students of mathematics education (N = 9 males, N = 27 females). This research is qualitative research with a qualitative descriptive approach. Data collection was carried out using the respondents’ ability test and interviews. The respondents’ ability test instrument was tested on 36 students and declared valid where r-count r-table with r-table of 0.3291, and declared reliable with a Cronbach Alpha value of 0.876 0.6. Through an exploratory approach, data were analyzed by categorizing, reducing, and interpreting to conclude students' abilities and thinking methods in formulating interval estimation of the mean based on the variance in questions. The results showed that mathematics education students neglected the variance, so they could not determine the test statistics correctly, resulting in error interval estimates. This study provides insight into the thinking methods of mathematics education students on variance in interval estimation problems in the hope of anticipating errors in formulating interval estimation problems.

COVID-19 Pandemic Effects on Brazilian Postgraduate Research

The education area is being deeply affected by COVID-19, and Brazilian students are trying to adapt. This chapter aims to research how postgraduate students are dealing with the challenges of the pandemic. From the following research question, “How did COVID-19 impact different dimensions of students´ lives enrolled at master and doctorate programmes?” the chapter describes the challenges that students from Master and Doctorate programmes of two federal institutes are dealing with and the future perspectives in the context of the pandemic. The research methodology is based on an exploratory approach, grounded on a survey for data regarding the impacts of COVID-19 in three dimensions: private life, professional life, and academic life, aiming to understand if and how their research and educational products development were affected. The results show that, despite stress and efforts, the students could adapt their research for the pandemic situation.

Insights From Supply Chain Disruptions in the COVID-19 Era

The COVID-19 pandemic has created a devastating impact on supply chains. Especially, transportation disruptions, the slowdown in manufacturing, supply-demand imbalances, operational inefficiency in last-mile, and deficiencies in dealing with the crisis can be seen as main headings. This chapter aims to reveal the problems and learn lessons in these areas where significant risks are faced. During the COVID era, the need for resilient supply chains that are not affected by instantaneous changes has come to the fore. Accordingly, the second aim of the chapter is to offer solutions toward the short, medium, and long terms of the first-mile, production, and last-mile processes as enhancing the responsiveness of supply chains by the elements of supply chain resilience. This study is prepared as a review article in an exploratory approach through the supply chain literature and current practical examples. As a result of the study, digital-intensive business models, collaborative network design, and sustainability are highlighted as the main concepts to reach more resilient networks.

Towards a Social Dramaturgy of Digital Education During the COVID-19 Pandemic in Romania

The COVID-19 pandemic, with its induced lockdowns, significantly changed the way the educational act was performed. Using both technological references in phenomenology and features on the relationship between performer and audience, encountered in social dramaturgy, this chapter follows the valences brought by the change in education in the online environment. Based on an exploratory approach made through discourse analysis with seven Romanian professors and 20 Romanian students, two major discursive repertoires can be identified: on the one hand, the one regarding the return to face-to-face courses and, on the other hand, the discourse on maintaining online courses. The discourse regarding the return to classical education is supported by all the interviewed teachers but also by the students who had connectivity problems during the pandemic. The favorable discourse for online classes was supported by most students, especially for temporal and financial reasons. This exploratory pattern confirms that even such choices have a socio-economic character, not necessarily an individual one.

Exploring the ‘Free-Corruption Zone’ Award using the Theory of Change among the Indonesian National Police: A Case Study of Gowa Resort Police

The current study aimed to address the nature of the programme of the “Free-Corruption Zone” Award, and whether the competition lessened the corruption. The study employed a qualitative method using exploratory approach on Gowa Resort Police. The Gowa Resort Police was selected as it had already been granted the ‘Free-Corruption Zone’ Award twice. The collected data were interviews, legal regulations, and state documents. The evaluation were carried out by doingsurveys contain the supporting and field components. The results yield that the inadequency of socialisation occurred, and a deterioration became barriers to the success of the competition. Further, the study offered recommendations according to the diagnosis tree and the Theory of Change to be engaged later by the INP, the MABR, and other public sectors.

Career Predilections and Options to Opt Occupation for the Youth in Pakistan

The aim of this study is to find the employment options and career choices of young people in a developing country, Pakistan. In this regard, an exploratory approach is used to conduct this study. The findings of the study show that there are formal and informal options for the youth to choose occupations. Formal includes the employment opportunities provided by the government which include in the long term and short term in their services; however, informal employment includes different kinds of work in the different sectors. Overseas employment is the external option of the career choice for the youth. However, a business incubation center is an internal source of career for university students and graduates who want to opt for entrepreneurship as their career choice. This study provides implications for the government and non-government organizations to create different kinds of employment opportunities to accommodate the huge youth population and make them productive for the economic development of the country and reduce the rate of unemployment.

Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis

In this article, the authors explore the potential of a big data analytics approach to unstructured text analytics of cancer blogs. The application is developed using Cloudera platform's Hadoop MapReduce framework. It uses several text analytics algorithms, including word count, word association, clustering, and classification, to identify and analyze the patterns and keywords in cancer blog postings. This article establishes an exploratory approach to involving big data analytics methods in developing text analytics applications for the analysis of cancer blogs. Additional insights are extracted through various means, including the development of categories or keywords contained in the blogs, the development of a taxonomy, and the examination of relationships among the categories. The application has the potential for generalizability and implementation with health content in other blogs and social media. It can provide insight and decision support for cancer management and facilitate efficient and relevant searches for information related to cancer.

Later Chronotype Correlates With Severe Depression in Indonesian College Students

Background and Objective The correlation between late chronotype and depression has been well documented, but reports from the equatorial area, where the sun shines throughout the year with less seasonal variation, are limited. In the present research study, we sought to 1) examine the relationship between the chronotype and mental health symptoms in an Indonesian student population and 2) explore the characteristics of those who lie at the extreme chronotype and psychometry.Methods This is a cross-sectional questionnaire-based study including undergraduate students in an Indonesian university (n = 493). We used the Munich Chronotype Questionnaires and the Depression, Anxiety, and Stress Scale to assess the chronotype and mental symptoms, respectively. Following this, a follow-up with an in-depth interview on the selected population at the extreme end of the chronotype was performed as an exploratory approach to identify their common characteristics.Results Among the tested parameters, the depression score was significantly associated with chronotype (p = 0.003), replicating previous findings from other areas with higher latitudes. The correlation persisted when males and females were analyzed separately (p = 0.008 and 0.037, respectively). A follow-up qualitative analysis revealed a potential subclinical, unrealized depression among the subjects; our findings revealed the use of smartphones during or before bedtime as a common factor among those with later chronotypes.Conclusions There is a correlation between depression score and chronotype among Indonesian college students, where subjects with later chronotype are more likely to have a higher depression score.