Start-up behaviour is a key resource for entrepreneurial investment decisions. Economic Corridors are a new form of regional and beyond regional entrepreneurial collaborations. The present research aimed at operationalising the measurement scale for industrial entrepreneurs' start-up behaviour in the context of entrepreneurship under economic corridors. Particularly, the present study is committed to developing, contextualising, and statistically pilot testing the measurement scale of start-up behaviour of industrial entrepreneurs. This study applied EFA, validity, and reliability tests on the 6-items constructed for Start-up Behavior.Data was collected from the owners, shareholders, members of the board of directors and Chief level executives of 425 manufacturing organisations (e.g., also known as industrial entrepreneurs) in Pakistan. Results of this scale contextualisation process confirmed that initial developed 7 items were reduced to 6-items, and 1-item was deleted at the stage of face & content validity. The final form of measurement scale for Start-up Behavior consisted of 6- items under 1-factor. Moreover, this study described and presented a systematic process for scale development, scale contextualisation, and statistical pilot testing to ensure the factorisation/extraction of factors, reliability and validity for the
newly operationalised scales for start-up behaviour. This study contributed to the body of knowledge for behavioural sciences, entrepreneurship, and economic corridors by providing a 6-item measuring scale of industrial entrepreneurs' start-up behaviour. This study is also an added advantage for the owners of the manufacturing firms and policymakers up to the extent that they were able to analyse the six behavioural factors for investment in the new start-ups.

Learner language has been a source of interest for researchers of all times as it possesses common features of language in use. For investigating this, Multi-dimensional analysis (MDA) by Biber is one such approach that empirically studies practiced language and establishes grounds for those varieties too which are striving for their place in linguistic cline (Crossely, et al., 2014). The present research is an effort to explore common patterns of learner language, which are explored throughCoh-Metrix (an online data tagging tool used to assess cohesion, coherence,readability level, etc.) to study those features and their respective functions while partially using MDA methodology. Following Biber's methodology,Factor analysis was conducted, and four dimensions were identified, which provided clues for the functional association of these dimensions. The results show that Pakistani learners' argumentative writing possesses narrative features and is dominatingly overlapping at the level of vocabulary,syntactic constructions, and passage development, and even in argumentation. These findings help us to establish the fact that Pakistani English has its own identity. These results are helpful for linguists as well as teachers as the knowledge of common linguistic and syntactic structures can be assessed easily while keeping in mind the grade level of the students.