scholarly journals Start‐ups and the art of ignoring the future: Commentary on Rowland and Spaniol 2021

2021 ◽  
Author(s):  
Rixa Georgi‐Kröhl
Keyword(s):  
The Future ◽  
Start Ups

Taxonomy of VUCA in Indian start-ups: the future of entrepreneurship

2020 ◽  
Vol 17 (1) ◽  
pp. 76
Author(s):  
Aseem Chauhan ◽  
Manoj Joshi ◽  
Ashok Kumar ◽  
Suhayl Abidi
Keyword(s):  
The Future ◽  
Start Ups

scholarly journals Detecting Weak Signals of the Future: A System Implementation Based on Text Mining and Natural Language Processing

2020 ◽  
Vol 12 (19) ◽  
pp. 7848 ◽  
Author(s):  
Israel Griol-Barres ◽  
Sergio Milla ◽  
Antonio Cebrián ◽  
Huaan Fan ◽  
Jose Millet
Keyword(s):  
Natural Language Processing ◽  
Text Mining ◽  
Natural Language ◽  
Language Processing ◽  
Weak Signals ◽  
Remote Sensors ◽  
The Future ◽  
Increasing Demand ◽  
New Applications ◽  
Start Ups

Organizations, companies and start-ups need to cope with constant changes on the market which are difficult to predict. Therefore, the development of new systems to detect significant future changes is vital to make correct decisions in an organization and to discover new opportunities. A system based on business intelligence techniques is proposed to detect weak signals, that are related to future transcendental changes. While most known solutions are based on the use of structured data, the proposed system quantitatively detects these signals using heterogeneous and unstructured information from scientific, journalistic and social sources, applying text mining to analyze the documents and natural language processing to extract accurate results. The main contributions are that the system has been designed for any field, using different input datasets of documents, and with an automatic classification of categories for the detected keywords. In this research paper, results from the future of remote sensors are presented. Remote sensing services are providing new applications in observation and analysis of information remotely. This market is projected to witness a significant growth due to the increasing demand for services in commercial and defense industries. The system has obtained promising results, evaluated with two different methodologies, to help experts in the decision-making process and to discover new trends and opportunities.

Taxonomy of VUCA in Indian start-ups: the future of entrepreneurship

2020 ◽  
Vol 17 (1) ◽  
pp. 76
Author(s):  
Manoj Joshi ◽  
Ashok Kumar ◽  
Suhayl Abidi ◽  
Aseem Chauhan
Keyword(s):  
The Future ◽  
Start Ups

The ‘BIBA’ Woman of India: A Model for Women Economic Empowerment

2017 ◽  
Vol 6 (1) ◽  
pp. 89-99 ◽  
Author(s):  
Seema Sharma ◽  
Dhwani Gambhir
Keyword(s):  
Rapid Growth ◽  
Women Entrepreneurs ◽  
Secondary Data ◽  
Business Environment ◽  
Economic Empowerment ◽  
Success Story ◽  
Teaching Case ◽  
The Future ◽  
Start Ups ◽  
Immense Potential

This teaching case narrates the entrepreneurial journey of Meena Bindra, the founder of the Indian apparel retail brand (BIBA), from 1983 to 2014. Her enterprise achieved incredible growth and has developed a magnificent vision for the future. The case describes the entrepreneurial outlook and decisions that helped tap opportunities and achieve rapid growth amidst the changing business environment. Her success story breaks many myths related to small start-ups by women entrepreneurs and highlights the immense potential and economic contributions by women. It serves as an example and provides support to the call for the active promotion of women’s economic empowerment. The case is based on both primary and secondary data.

The Nature of Digital Leadership in Managing Employees Through Organizational Culture

2020 ◽  
pp. 152-172
Author(s):  
Seda Mengü ◽  
Mehmet Murat Mengü ◽  
Yeşim Güçdemir ◽  
Abdurrahman Seçkin Canan
Keyword(s):  
Organizational Culture ◽  
Creative Thinking ◽  
Social Influences ◽  
Digital Transformation ◽  
Organizational Environments ◽  
Start Up ◽  
The Future ◽  
Digital Environments ◽  
Start Ups ◽  
Depth Interviews

Thinking, decision-making, and visions have changed with digitalization, which transforms the climate and culture of the corporations and enables the emergence of new institutional behaviors and organizational environments. Should leaders and PR professionals change their current strategies to adapt themselves to the new digital environments? What strategies can the digital leaders utilize to connect with the employees of the future? One of the organizations that have been influenced the most by the digital transformation is the start-ups companies. The managers of the future will need all the flexibility, emotional intelligence, and creative thinking. Thus, the purpose of this study is to determine the influence of digital leadership on start-up companies regarding technological and social influences of the digital age across different demographics. Thus, a short questionnaire was implemented through semi-structured in-depth interviews in order to find out the influences over organizational culture. In this context, the leaders of eight start-up companies from Turkey were interviewed.

Digitalization, BIM ecosystem, and the future of built environment

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vishal Singh
Keyword(s):  
Built Environment ◽  
Divergent Thinking ◽  
Academic Research ◽  
Thought Experiments ◽  
Research Strategy ◽  
Alternative Possibilities ◽  
Transformative Research ◽  
Content Type ◽  
The Future ◽  
Start Ups

Purpose The purpose of this paper is to conduct a critical analysis of the commonly projected visions on the future of built environment, focusing on transformative research. The primary question is will the construction sector be able to make the projected transformative leap even if the history of technology adoption in construction suggests otherwise? And, what role can academic research play? Design/methodology/approach This paper is based on a reflective research and qualitative review of academic articles, white papers and reported projections for the future of construction. The reflections are based on discussions with colleagues and students, including thought experiments. Findings There is a general agreement across various sources about the key technical and social drivers for the future of construction. However, these projections seem to be emanating from industry insiders, and more diversity and creativity is needed in exploring alternative possibilities. Research limitations/implications The paper should be useful for researchers in assessing their research strategy, especially those aiming to focus on the future of construction and transformative research. The findings of this paper suggest the need for collaboration and explorations with diverse disciplines, including those that may not appear immediately connected to digital construction. Practical implications The paper should be useful for individuals and organizations, especially start-ups that are seeking novel opportunities to disrupt the future of construction. Originality/value The originality and value of this research lies in a timely critique of the commonly projected trends in the future of digital construction. The use of reflective research and thought experiments emphasizes the need for divergent thinking and creative research methods in construction research.

scholarly journals Anticipating the Creditworthiness of an Organization using R

2020 ◽  
Vol 9 (3) ◽  
pp. 421-427
Keyword(s):  
Predictive Models ◽  
Mutual Fund ◽  
Credit Rating ◽  
Software Tool ◽  
Financial Data ◽  
Analytical Models ◽  
Future Performance ◽  
The Future ◽  
The Right ◽  
Start Ups

Numerous start-ups are being created day-by-day. Government also welcomes those by providing funds and loans. As India’s economy grows at tremendous pace there is a need for analytical models to help investors track down and predict the performance of industry. Thus, predictive models help us to find and make an informed decision about the financial markets in the future. It allows investors to predict the right shares to obtain profitable investments, banks to invest on repayable customers, mutual funds providers to predict the credit worthiness and shares in order to obtain accuracy about investments and outcomes etc. while there are many models that have been created and perfected by numerous banks and credit rating agencies with their own software tool and data analytics processing there are no such models and systems exists for common retail stock mutual fund investors. This paper mainly focuses on building an open source user friendly model that predict the future performance of concern industry based on the historical records of financial data that is available in BSE/NSE market for various stake holders by focusing on different performance parameters of the concerned company. This prediction is done using R. The Descriptive and predictive models have been created using the financial data collected for more than 3000 companies and tested on accuracy with various statistical methods like ROC.

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