scholarly journals Mapping the Wave of Industry Digitalization by Co-Word Analysis: An Exploration of Four Disruptive Industries

2021 ◽  
Author(s):  
Levan Bzhalava ◽  
Sohaib S. Hassan ◽  
Jari Kaivo-oja ◽  
Bengt Köping Olsson ◽  
Javed Imran
Keyword(s):  
Strategic Planning ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Early Stage ◽  
Elderly Care ◽  
Digital Technologies ◽  
Finance Industry ◽  
Word Analysis ◽  
Industrial Landscape ◽  
Emerging Trends

This paper aims to identify global digital trends across industries and to map emerging business areas by co-word analysis. As the industrial landscape has become complex and dynamic due to the rapid pace of technological changes and digital transformation, identifying industrial trends can be critical for strategic planning and investment policy at the firm and regional level. For this purpose, the paper examines industry and technology profiles of top startups across four industries (i.e. education, finance, healthcare, manufacturing) using CrunchBase metadata for the period 2016–2018 and studies in which subsector early-stage firms bring digital technologies on a global level. In particular, we apply word co-occurrence analysis to reveal which subindustry and digital technology keywords/keyphrases appear together in startup company classification. We also use network analysis to visualize industry structure and to identify digitalization trends across sectors. The results obtained from the analysis show that gamification and personalization are emerging trends in the education sector. In the finance industry, digital technologies penetrate in a wide set of services such as financial transactions, payments, insurance, venture capital, stock exchange, asset and risk management. Moreover, the data analyses indicate that health diagnostics and elderly care areas are at the forefront of the healthcare industry digitalization. In the manufacturing sector, startup companies focus on automating industrial processes and creating smart interconnected manufacturing. Finally, we discuss the implications of the study for strategic planning and management.

scholarly journals Nonwearable Sensor-Based In-Home Assessment of Subtle Daily Behavioral Changes as a Candidate Biomarker for Mild Cognitive Impairment

2021 ◽  
Vol 12 (1) ◽  
pp. 11
Author(s):  
Takao Yamasaki ◽  
Shuzo Kumagai
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Early Stage ◽  
Digital Technologies ◽  
Assessment Methods ◽  
Behavioral Changes ◽  
Behavioral Patterns ◽  
Traditional Assessment ◽  
Traditional Performance ◽  
Traditional Assessments

Patients show subtle changes in daily behavioral patterns, revealed by traditional assessments (e.g., performance- or questionnaire-based assessments) even in the early stage of Alzheimer’s disease (AD; i.e., the mild cognitive impairment (MCI) stage). An increase in studies on the assessment of daily behavioral changes in patients with MCI and AD using digital technologies (e.g., wearable and nonwearable sensor-based assessment) has been noted in recent years. In addition, more objective, quantitative, and realistic evidence of altered daily behavioral patterns in patients with MCI and AD has been provided by digital technologies rather than traditional assessments. Therefore, this study hypothesized that the assessment of daily behavioral changes with digital technologies can replace or assist traditional assessment methods for early MCI and AD detection. In this review, we focused on research using nonwearable sensor-based in-home assessment. Previous studies on the assessment of behavioral changes in MCI and AD using traditional performance- or questionnaire-based assessments are first described. Next, an overview of previous studies on the assessment of behavioral changes in MCI and AD using nonwearable sensor-based in-home assessment is provided. Finally, the usefulness and problems of nonwearable sensor-based in-home assessment for early MCI and AD detection are discussed. In conclusion, this review stresses that subtle changes in daily behavioral patterns detected by nonwearable sensor-based in-home assessment can be early MCI and AD biomarkers.

scholarly journals The effect of duality/non-duality of CEO, board size, meeting, committee on domestic shareholdings: Empirical evidence from Sri Lanka

2014 ◽  
Vol 11 (4) ◽  
pp. 329-337
Author(s):  
Nadarajah Sivathaasan ◽  
Sivapalan Achchuthan
Keyword(s):  
Sri Lanka ◽  
Positive Relationship ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Manufacturing Companies ◽  
Regression Analyses ◽  
Board Meeting ◽  
Board Size ◽  
The Impact ◽  
Test Correlation

This paper seeks to investigate the effect of duality/non-duality of CEO, board size, meeting, committee on domestic shareholdings of manufacturing companies listed on Colombo Stock Exchange over a three-year period from 2011 to 2013. The study employs the independent samples t-test, correlation and regression analyses to assess the relationships as well as the impact on domestic shareholdings using a sample of 32 quoted companies ( n =32). It is found that duality & non-duality of CEO structure do not differ in relation to domestic shareholdings that are inconsistent with the hypothesis formulated. Board size (+) and board meeting (+) have shown positive relationship and board committee (-) is negatively associated with domestic shareholdings. As per the empirical results, board committee and board size have significant (p < 0.05) impact on domestic share holdings and insignificant impact is observed by board meeting. The present study concentrates only on the manufacturing sector quoted on Colombo Stock Exchange. This paper has taken an effort to this area of research on emerging share holdings held by local individuals and institutions in Sri Lanka and the findings could be generalized to the companies similar to this category.

scholarly journals IMPACT OF DIVIDEND PAYOUT ON FIRM’S PERFORMANCE UNDER LOW GROWTH OPPORTUNITIES

2021 ◽  
Vol 9 (3) ◽  
pp. 1156-1165
Author(s):  
Taymoor Ali ◽  
Muhammad Kashif Khurshid ◽  
Adnan Ali Chaudhary
Keyword(s):  
Stock Exchange ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Financial Statements ◽  
Manufacturing Firms ◽  
Growth Opportunities ◽  
Dividend Payout ◽  
Relationship Of ◽  
The Relationship

Purpose of the study: The objective of the study was to investigate the relationship of the dividend payout on a firm's performance under low growth opportunities from the manufacturing sector of Pakistan. Methodology: A sample of 251 firms out of 378 manufacturing firms listed at the Pakistan Stock Exchange (PSX), have been carefully chosen for the era of ten years from 2006 to 2015. The secondary data was obtained from the firm’s web financials and analysis of financial statements, published by the statistics department of the State Bank of Pakistan. For the persistence of investigation panel data (fixed effect) analyses were employed in this study. Main Findings: The fallouts of the analysis revealed that the dividend payout ratio has an insignificant relationship with the firm's performance in the low growth perspectives of the study. Applications of this study: The findings of the study are helpful for the financial managers of the firms facing low growth opportunities. Furthermore, the investors in capital markets can use the findings of this while investing. The originality of this study: The study focussed on the role of low growth opportunities while studying the nexus of dividend pay-out and the firm’s financial performance which inherits the novelty and originality of the study.

scholarly journals DETERMINASI PENGUNGKAPAN TRANSAKSI PIHAK BERELASI BERDASARKAN PSAK NO.7 TAHUN 2018

2020 ◽  
Vol 6 (1) ◽  
pp. Press
Author(s):  
Jessyka Tridewi Purba ◽  
Husnah Nur Laela Ermaya ◽  
Ayunita Ajengtiyas
Keyword(s):  
Earnings Management ◽  
Audit Committee ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Sampling Technique ◽  
Institutional Ownership ◽  
Financial Statements ◽  
Managerial Ownership ◽  
Related Party Transactions

This study aims to examine the effect of Audit Committee, Independent Commissioner, Institutional Ownership, Managerial Ownership, Earnings Management to Related Party Transaction Disclosure. This type of research is quantitative reseacrh using secondary data of financial statements from manufacturing sector companies during 2016 to 2018 obtained from Indonesia Stock Exchange. The sampling technique that used is purposive sampling. The results showed that the Audit Committee, Independent Commissioners, Institutional Ownership, Managerial Ownership and Profit Management were able to influence the disclosure of related party transactions by 13%, while the remaining 87% were influenced by other variables outside this study. Partially, institutional ownership and managerial ownership significantly influence the disclosure of related party transactions. While the audit committee, independent commissioners and earnings management do not affect the disclosure of related party transactions.

scholarly journals Prediksi Harga Saham Dalam Berinvestasi Pada Perusahaan Manufaktur

2021 ◽  
Vol 9 (2) ◽  
pp. 101-114
Author(s):  
Fauziyah Fauziyah
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Manufacturing Industry ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Prediction Method ◽  
Manufacturing Companies ◽  
Upward Trend ◽  
Stock Trading ◽  
The Past

Abstract Indonesia Stock Exchange (IDX) is a term that is well known in the world of stocks in Indonesia. One of the company sectors listed on the IDX is manufacturing. The contribution of the manufacturing sector to Gross Domestic Product (GDP) was recorded to be the largest compared to other sectors. In this research, the manufacturing companies that will be used as the object of research to predict their stock prices are manufacturing companies listed in LQ45. In stock trading, prices fluctuate up or down. Stock conditions that fluctuate every day make investors who are going to invest in the Manufacturing industry must observe and study the past company data before investing. This data is important for investors to find out what might happen to a company's stock price. Thus, predicting stock prices in the manufacturing industry for the future is needed as a stage in deciding which manufacturing companies are good to investing in. The prediction method in this research uses ARIMA. The results obtained are the stock prices of companies GGRM, HMSP, ICBP, INDF, INTP and UNVR following a downward trend, so that the actions taken by investor in these companies are selling stocks, while for the stock prices of companies ASII, CPIN, INKP, JPFA, SMGR, TKIM, following an upward trend, so that the actions taken by investors in these companies are buying stocks.Keywords: Prediction, ARIMA, Investment  BEI merupakan istilah yang terkenal pada dunia saham di Indonesia. Sektor perusahaan yang terdapat di BEI salah satunya adalah manufaktur. Kontribusi sektor manufaktur dalam Produk Domestik Bruto (PDB) tercatat yang paling besar dibandingkan sektor lainnya. Di dalam penelitian ini, perusahaan manufaktur yang akan dijadikan objek penelitian untuk diramalkan harga sahamnya yaitu perusahaan manufaktur yang terdaftar di LQ45.  Pada perdagangan saham, harga mengalami fluktuasi naik maupun turun.  Keadaan saham yang fluktuasi setiap hari menjadikan investor yang akan berinvestasi di industri Manufaktur harus mengamati dan mempelajari data perusahaan dimasa lalu sebelum melakukan investasi. Data tersebut penting bagi investor untuk mengetahui kemungkinan yang terjadi pada harga saham suatu perusahaan. sehingga, meramal harga saham pada industri manufaktur untuk masa yang akan datang sangat dibutuhkan sebagai tahapan dalam memutuskan perusahaan Manufaktur yang baik dalam melakukan investasi. Metode Prediksi dalam penelitian ini menggunakan ARIMA. Hasil yang didapat yaitu harga saham perusahaan GGRM, HMSP, ICBP, INDF, INTP dan UNVR mengikuti tren turun, sehingga langkah yang diambil untuk investor pada perusahaan tersebut adalah menjualnya sedangkan untuk harga saham perusahaan ASII, CPIN, INKP, JPFA, SMGR, TKIM, mengikuti tren naik, sehingga langkah yang diambil untuk investor pada perusahaan tersebut adalah membeli saham.Kata Kunci: Prediksi, ARIMA, Investasi

Does strategic planning determine innovation in organizations? A study of Indian SME sector

2017 ◽  
Vol 43 (3) ◽  
pp. 493-513 ◽  
Author(s):  
Safal Batra ◽  
Sunil Sharma ◽  
Mukund R Dixit ◽  
Neharika Vohra
Keyword(s):  
Strategic Planning ◽  
New Product Development ◽  
Manufacturing Sector ◽  
Organizational Factors ◽  
Theory And Practice ◽  
Senior Executives ◽  
Medium Businesses ◽  
Creativity And Innovation ◽  
The Relationship

While some researchers argue that strategic planning assists new product development and can be viewed as a framework for innovation, others believe that it restricts creativity and innovation. Despite a literary appreciation that strategic planning is linked to innovation, the nature of this relationship remains ambiguous. In this study, we argue that this relationship is context dependent and contingent on other organizational factors. Data for this study were collected by administering standardized survey questionnaires to entrepreneurs or other senior executives of small and medium businesses in India. Quantitative analysis of data obtained from 162 small- and medium-sized enterprises (SMEs) in the manufacturing sector reveals a positive relationship between strategic planning and innovation. This study also establishes a significant positive moderating role of commitment to learning on the relationship between strategic planning and innovation. Implications for theory and practice are discussed.

Analisis Pengaruh Beban Pajak Tangguhan, Discretionary Accruals, dan Arus Kas Operasi terhadap Manajemen Laba

2015 ◽  
Vol 2 (01) ◽  
pp. 19-31
Author(s):  
Thomas Junior Sibarani ◽  
Nur Hidayat ◽  
Surtikanti Surtikanti
Keyword(s):  
Earnings Management ◽  
Cash Flow ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Flow Analysis ◽  
Discretionary Accruals ◽  
Probability Of Occurrence ◽  
Operating Cash Flow ◽  
Deferred Tax ◽  
Tax Expense

A B S T R A C T The financial statements show the results of management accountability for the use of the resources entrusted to them. This study aims to analyze the probability of occurrence of earnings management. The possibility of earnings management is measured through a variable deferred tax expense, discretionary accruals, and operating cash flow. Analysis was performed on 89 companies listed manufacturing sector in Indonesia Stock Exchange in 2009-2013. Overall the study found empirical evidence that the deferred tax expense, discretionary accruals, and operating cash flow significantly influence the probability of occurrence of earnings management. A B S T R A K Laporan keuangan menunjukkan hasil pertanggungjawaban manajemen atas penggunaan sumber daya yang dipercayakan kepada mereka. Penelitian ini bertujuan untuk menganalisis kemungkinan terjadinya manajemen laba. Kemungkinan manajemen laba diukur melalui variabel beban pajak tangguhan, akrual diskresioner, dan arus kas operasi. Analisis dilakukan pada 89 perusahaan yang terdaftar di sektor manufaktur di Bursa Efek Indonesia pada 2009-2013. Secara keseluruhan penelitian ini menemukan bukti empiris bahwa beban pajak tangguhan, akrual diskresioner, dan arus kas operasi berpengaruh secara signifikan terhadap kemungkinan terjadinya manajemen laba. JEL Classification: G14, G30

ANALISIS FAKTOR - FAKTOR YANG MEMPENGARUHI KETEPATAN WAKTU PENYAMPAIAN LAPORAN KEUANGAN PERUSAHAAN INDUSTRI BARANG KONSUMSI DI BURSA EFEK INDONESIA

2020 ◽  
Vol 5 (2) ◽  
pp. 333
Author(s):  
Devi Ayu Putri
Keyword(s):  
Financial Reporting ◽  
Audit Committee ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Participant Observation ◽  
Annual Reports ◽  
Company Size ◽  
Public Accounting ◽  
Accounting Firms ◽  
Public Accounting Firms

This study aims to examine and analyze (1) the effect of profitability on the timeliness of financial reporting (2) the effect of leverage on the timeliness of financial reporting (3) the effect of company size on the timeliness of financial reporting (4) the effect of reputation of public accounting firms on the accuracy financial reporting time and (5) the influence of the audit committee on the timeliness of financial reporting of companies listed on the Indonesian stock exchange. This research was conducted in the manufacturing sector of the consumer goods sector in 2012-2016 on the Indonesia Stock Exchange. Methods of research data using non-participant observation methods, by analyzing the annual reports and audit financial reports obtained. The data analysis method is logistic regression analysis, with hypothesis testing carried out by multivariate testing. The results showed that the profitability and audit committee had a positive effect on the timeliness of financial reporting, while leverage, company size, reputation of public accounting firms had no effect on timeliness of financial reporting. This research is expected to provide significant implications for related parties in assessing and predicting the timeliness of financial report submission.

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