Causation and Effectuation: Exploratory Study of New Zealand Entrepreneurs

The aim of this paper is to explore the decision-making processes of causation and effectuation within New Zealand entrepreneurs. One-on-one, semi structured interviews were conducted to investigate; the extent of Causation and Effectuation followed by entrepreneurial start-ups in years four to eight of operation? In Addition, whether decision-making process and perceptions of market uncertainty differ across industries? Findings indicate that effectuation was predominantly followed. This research extrapolates new, key themes regarding decision-making. The decision-making process was largely seen as entirely subjective and dependent on the personality of the entrepreneur, their opportunity recognition experience and ideals of running the business

A Macroeconomic and Cultural Perspective

1. Abeer Pervaiz[1][1] 2. Mohammad Saud Khan[2][2][⇑][3] 1. 1Libera Universita di Bolzano-Bozen, Italy 2. 2University of Southern Denmark, Odense, Denmark 1. Mohammad Saud Khan, Institute of Marketing and Management, Strategic Organization Design Unit, University of Southern Denmark, Campusvej 55, Odense M, 5230, Denmark. Email: mohammadsaud19{at}gmail.com This study aims at understanding entrepreneurial relations between Pakistani and Western entrepreneurs. It emphasizes the concept of national culture and tries to determine how Pakistani entrepreneurs are able to manage relations with their foreign clients in an economic downturn. The qualitative study consists of interviews conducted with various entrepreneurs of Pakistan. Political instability emerged as a major trial that most entrepreneurs faced, which in turn lead to reluctance, reliability, and trust issues among foreign investors. Despite cultural differences and economic challenges, Pakistani entrepreneurs are willing to work hard to maintain their relationships with foreign entrepreneurs. [1]: #aff-1 [2]: #aff-2 [3]: #corresp-

Social Media Big Data Analytics for Demand Forecasting: Development and Case Implementation of an Innovative Framework

Social media big data offers insights that can be used to make predictions of products' future demand and add value to the supply chain performance. The paper presents a framework for improvement of demand forecasting in a supply chain using social media data from Twitter and Facebook. The proposed framework uses sentiment, trend, and word analysis results from social media big data in an extended Bass emotion model along with predictive modelling on historical sales data to predict product demand. The forecasting framework is validated through a case study in a retail supply chain. It is concluded that the proposed framework for forecasting has a positive effect on improving accuracy of demand forecasting in a supply chain

Market orientation and SME performance : Moderating role of IoT and mediating role of creativity

Peer reviewe